Implemented OCR Functionality

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Nicole Rappe 2025-04-13 03:08:07 -06:00
parent 85b8a7d052
commit c741d81a45
120 changed files with 17416 additions and 6 deletions

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<body class="manpage">
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<h1>
AMBIGUOUS_WORDS(1) Manual Page
</h1>
<h2>NAME</h2>
<div class="sectionbody">
<p>ambiguous_words -
generate sets of words Tesseract is likely to find ambiguous
</p>
</div>
</div>
<div id="content">
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p><strong>ambiguous_words</strong> [-l lang] <em>TESSDATADIR</em> <em>WORDLIST</em> <em>AMBIGUOUSFILE</em></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>ambiguous_words(1) runs Tesseract in a special mode, and for each word
in word list, produces a set of words which Tesseract thinks might be
ambiguous with it. <em>TESSDATADIR</em> must be set to the absolute path of
a directory containing <em>tessdata/lang.traineddata</em>.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1)</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (C) 2012 Google, Inc.
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
</div>
</div>
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<body class="article">
<div id="header">
<h1>CLASSIFIER_TESTER(1)</h1>
</div>
<div id="content">
<div class="sect1">
<h2 id="_name">NAME</h2>
<div class="sectionbody">
<div class="paragraph"><p>classifier_tester - for <strong>legacy tesseract</strong> engine.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p><strong>classifier_tester</strong> -U <em>unicharset_file</em> -F <em>font_properties_file</em> -X <em>xheights_file</em> -classifier <em>x</em> -lang <em>lang</em> [-output_trainer trainer] *.tr</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>classifier_tester(1) runs Tesseract in a special mode.
It takes a list of .tr files and tests a character classifier
on data as formatted for training,
but it doesn&#8217;t have to be the same as the training data.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_in_out_arguments">IN/OUT ARGUMENTS</h2>
<div class="sectionbody">
<div class="paragraph"><p>a list of .tr files</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_options">OPTIONS</h2>
<div class="sectionbody">
<div class="dlist"><dl>
<dt class="hdlist1">
-l <em>lang</em>
</dt>
<dd>
<p>
(Input) three character language code; default value <em>eng</em>.
</p>
</dd>
<dt class="hdlist1">
-classifier <em>x</em>
</dt>
<dd>
<p>
(Input) One of "pruner", "full".
</p>
</dd>
<dt class="hdlist1">
-U <em>unicharset</em>
</dt>
<dd>
<p>
(Input) The unicharset for the language.
</p>
</dd>
<dt class="hdlist1">
-F <em>font_properties_file</em>
</dt>
<dd>
<p>
(Input) font properties file, each line is of the following form, where each field other than the font name is 0 or 1:
</p>
<div class="literalblock">
<div class="content monospaced">
<pre>*font_name* *italic* *bold* *fixed_pitch* *serif* *fraktur*</pre>
</div></div>
</dd>
<dt class="hdlist1">
-X <em>xheights_file</em>
</dt>
<dd>
<p>
(Input) x heights file, each line is of the following form, where xheight is calculated as the pixel x height of a character drawn at 32pt on 300 dpi. [ That is, if base x height + ascenders + descenders = 133, how much is x height? ]
</p>
<div class="literalblock">
<div class="content monospaced">
<pre>*font_name* *xheight*</pre>
</div></div>
</dd>
<dt class="hdlist1">
-output_trainer <em>trainer</em>
</dt>
<dd>
<p>
(Output, Optional) Filename for output trainer.
</p>
</dd>
</dl></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1)</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (C) 2012 Google, Inc.
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
</div>
</div>
</body>
</html>

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@ -0,0 +1,803 @@
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<body class="article">
<div id="header">
<h1>CNTRAINING(1)</h1>
</div>
<div id="content">
<div class="sect1">
<h2 id="_name">NAME</h2>
<div class="sectionbody">
<div class="paragraph"><p>cntraining - character normalization training for Tesseract</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p><strong>cntraining</strong> [-D <em>dir</em>] <em>FILE</em>&#8230;</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>cntraining takes a list of .tr files, from which it generates the
<strong>normproto</strong> data file (the character normalization sensitivity
prototypes).</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_options">OPTIONS</h2>
<div class="sectionbody">
<div class="dlist"><dl>
<dt class="hdlist1">
-D <em>dir</em>
</dt>
<dd>
<p>
Directory to write output files to.
</p>
</dd>
</dl></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1), shapeclustering(1), mftraining(1)</p></div>
<div class="paragraph"><p><a href="https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html">https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html</a></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (c) Hewlett-Packard Company, 1988
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
</div>
</div>
</body>
</html>

View File

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<div id="header">
<h1>
COMBINE_LANG_MODEL(1) Manual Page
</h1>
<h2>NAME</h2>
<div class="sectionbody">
<p>combine_lang_model -
generate starter traineddata
</p>
</div>
</div>
<div id="content">
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p><strong>combine_lang_model</strong> --input_unicharset <em>filename</em> --script_dir <em>dirname</em> --output_dir <em>rootdir</em> --lang <em>lang</em> [--lang_is_rtl] [pass_through_recoder] [--words file --puncs file --numbers file]</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>combine_lang_model(1) generates a starter traineddata file that can be used to train an LSTM-based neural network model. It takes as input a unicharset and an optional set of wordlists. It eliminates the need to run set_unicharset_properties(1), wordlist2dawg(1), some non-existent binary to generate the recoder (unicode compressor), and finally combine_tessdata(1).</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_options">OPTIONS</h2>
<div class="sectionbody">
<div class="dlist"><dl>
<dt class="hdlist1">
<em>--lang lang</em>
</dt>
<dd>
<p>
The language to use.
Tesseract uses 3-character ISO 639-2 language codes. (See LANGUAGES)
</p>
</dd>
<dt class="hdlist1">
<em>--script_dir PATH</em>
</dt>
<dd>
<p>
Directory name for input script unicharsets. It should point to the location of langdata (github repo) directory. (type:string default:)
</p>
</dd>
<dt class="hdlist1">
<em>--input_unicharset FILE</em>
</dt>
<dd>
<p>
Unicharset to complete and use in encoding. It can be a hand-created file with incomplete fields. Its basic and script properties will be set before it is used. (type:string default:)
</p>
</dd>
<dt class="hdlist1">
<em>--lang_is_rtl BOOL</em>
</dt>
<dd>
<p>
True if language being processed is written right-to-left (eg Arabic/Hebrew). (type:bool default:false)
</p>
</dd>
<dt class="hdlist1">
<em>--pass_through_recoder BOOL</em>
</dt>
<dd>
<p>
If true, the recoder is a simple pass-through of the unicharset. Otherwise, potentially a compression of it by encoding Hangul in Jamos, decomposing multi-unicode symbols into sequences of unicodes, and encoding Han using the data in the radical_table_data, which must be the content of the file: langdata/radical-stroke.txt. (type:bool default:false)
</p>
</dd>
<dt class="hdlist1">
<em>--version_str STRING</em>
</dt>
<dd>
<p>
An arbitrary version label to add to traineddata file (type:string default:)
</p>
</dd>
<dt class="hdlist1">
<em>--words FILE</em>
</dt>
<dd>
<p>
(Optional) File listing words to use for the system dictionary (type:string default:)
</p>
</dd>
<dt class="hdlist1">
<em>--numbers FILE</em>
</dt>
<dd>
<p>
(Optional) File listing number patterns (type:string default:)
</p>
</dd>
<dt class="hdlist1">
<em>--puncs FILE</em>
</dt>
<dd>
<p>
(Optional) File listing punctuation patterns. The words/puncs/numbers lists may be all empty. If any are non-empty then puncs must be non-empty. (type:string default:)
</p>
</dd>
<dt class="hdlist1">
<em>--output_dir PATH</em>
</dt>
<dd>
<p>
Root directory for output files. Output files will be written to &lt;output_dir&gt;/&lt;lang&gt;/&lt;lang&gt;.* (type:string default:)
</p>
</dd>
</dl></div>
</div>
</div>
<div class="sect1">
<h2 id="_history">HISTORY</h2>
<div class="sectionbody">
<div class="paragraph"><p>combine_lang_model(1) was first made available for tesseract4.00.00alpha.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_resources">RESOURCES</h2>
<div class="sectionbody">
<div class="paragraph"><p>Main web site: <a href="https://github.com/tesseract-ocr">https://github.com/tesseract-ocr</a><br>
Information on training tesseract LSTM: <a href="https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html">https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html</a></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1)</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (C) 2012 Google, Inc.
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
</div>
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<h1>
DAWG2WORDLIST(1) Manual Page
</h1>
<h2>NAME</h2>
<div class="sectionbody">
<p>dawg2wordlist -
convert a Tesseract DAWG to a wordlist
</p>
</div>
</div>
<div id="content">
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p><strong>dawg2wordlist</strong> <em>UNICHARSET</em> <em>DAWG</em> <em>WORDLIST</em></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>dawg2wordlist(1) converts a Tesseract Directed Acyclic Word
Graph (DAWG) to a list of words using a unicharset as key.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_options">OPTIONS</h2>
<div class="sectionbody">
<div class="paragraph"><p><em>UNICHARSET</em>
The unicharset of the language. This is the unicharset
generated by mftraining(1).</p></div>
<div class="paragraph"><p><em>DAWG</em>
The input DAWG, created by wordlist2dawg(1)</p></div>
<div class="paragraph"><p><em>WORDLIST</em>
Plain text (output) file in UTF-8, one word per line</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1), mftraining(1), wordlist2dawg(1), unicharset(5),
combine_tessdata(1)</p></div>
<div class="paragraph"><p><a href="https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html">https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html</a></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (C) 2012 Google, Inc.
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
</div>
</div>
</body>
</html>

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Ray Smith (lead developer) <theraysmith@gmail.com>
Ahmad Abdulkader
Rika Antonova
Nicholas Beato
Jeff Breidenbach
Samuel Charron
Phil Cheatle
Simon Crouch
David Eger
Sheelagh Huddleston
Dan Johnson
Rajesh Katikam
Thomas Kielbus
Dar-Shyang Lee
Zongyi (Joe) Liu
Robert Moss
Chris Newton
Michael Reimer
Marius Renn
Raquel Romano
Christy Russon
Shobhit Saxena
Mark Seaman
Faisal Shafait
Hiroshi Takenaka
Ranjith Unnikrishnan
Joern Wanke
Ping Ping Xiu
Andrew Ziem
Oscar Zuniga
Community Contributors:
Zdenko Podobný (Maintainer)
Jim Regan (Maintainer)
James R Barlow
Stefan Brechtken
Thomas Breuel
Amit Dovev
Martin Ettl
Shree Devi Kumar
Noah Metzger
Tom Morris
Tobias Müller
Egor Pugin
Robert Sachunsky
Raf Schietekat
Sundar M. Vaidya
Robin Watts
Stefan Weil
Nick White
Alexander Zaitsev

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# Tesseract OCR
[![Coverity Scan Build Status](https://scan.coverity.com/projects/tesseract-ocr/badge.svg)](https://scan.coverity.com/projects/tesseract-ocr)
[![CodeQL](https://github.com/tesseract-ocr/tesseract/workflows/CodeQL/badge.svg)](https://github.com/tesseract-ocr/tesseract/security/code-scanning)
[![OSS-Fuzz](https://img.shields.io/badge/oss--fuzz-fuzzing-brightgreen)](https://issues.oss-fuzz.com/issues?q=is:open%20title:tesseract-ocr)
\
[![GitHub license](https://img.shields.io/badge/license-Apache--2.0-blue.svg)](https://raw.githubusercontent.com/tesseract-ocr/tesseract/main/LICENSE)
[![Downloads](https://img.shields.io/badge/download-all%20releases-brightgreen.svg)](https://github.com/tesseract-ocr/tesseract/releases/)
## Table of Contents
* [Tesseract OCR](#tesseract-ocr)
* [About](#about)
* [Brief history](#brief-history)
* [Installing Tesseract](#installing-tesseract)
* [Running Tesseract](#running-tesseract)
* [For developers](#for-developers)
* [Support](#support)
* [License](#license)
* [Dependencies](#dependencies)
* [Latest Version of README](#latest-version-of-readme)
## About
This package contains an **OCR engine** - `libtesseract` and a **command line program** - `tesseract`.
Tesseract 4 adds a new neural net (LSTM) based [OCR engine](https://en.wikipedia.org/wiki/Optical_character_recognition) which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0).
It also needs [traineddata](https://tesseract-ocr.github.io/tessdoc/Data-Files.html) files which support the legacy engine, for example those from the [tessdata](https://github.com/tesseract-ocr/tessdata) repository.
Stefan Weil is the current lead developer. Ray Smith was the lead developer until 2018. The maintainer is Zdenko Podobny. For a list of contributors see [AUTHORS](https://github.com/tesseract-ocr/tesseract/blob/main/AUTHORS)
and GitHub's log of [contributors](https://github.com/tesseract-ocr/tesseract/graphs/contributors).
Tesseract has **unicode (UTF-8) support**, and can **recognize [more than 100 languages](https://tesseract-ocr.github.io/tessdoc/Data-Files-in-different-versions.html)** "out of the box".
Tesseract supports **[various image formats](https://tesseract-ocr.github.io/tessdoc/InputFormats)** including PNG, JPEG and TIFF.
Tesseract supports **various output formats**: plain text, hOCR (HTML), PDF, invisible-text-only PDF, TSV, ALTO and PAGE.
You should note that in many cases, in order to get better OCR results, you'll need to **[improve the quality](https://tesseract-ocr.github.io/tessdoc/ImproveQuality.html) of the image** you are giving Tesseract.
This project **does not include a GUI application**. If you need one, please see the [3rdParty](https://tesseract-ocr.github.io/tessdoc/User-Projects-%E2%80%93-3rdParty.html) documentation.
Tesseract **can be trained to recognize other languages**.
See [Tesseract Training](https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html) for more information.
## Brief history
Tesseract was originally developed at Hewlett-Packard Laboratories Bristol UK and at Hewlett-Packard Co, Greeley Colorado USA between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. From 2006 until November 2018 it was developed by Google.
Major version 5 is the current stable version and started with release
[5.0.0](https://github.com/tesseract-ocr/tesseract/releases/tag/5.0.0) on November 30, 2021. Newer minor versions and bugfix versions are available from
[GitHub](https://github.com/tesseract-ocr/tesseract/releases/).
Latest source code is available from [main branch on GitHub](https://github.com/tesseract-ocr/tesseract/tree/main).
Open issues can be found in [issue tracker](https://github.com/tesseract-ocr/tesseract/issues),
and [planning documentation](https://tesseract-ocr.github.io/tessdoc/Planning.html).
See **[Release Notes](https://tesseract-ocr.github.io/tessdoc/ReleaseNotes.html)**
and **[Change Log](https://github.com/tesseract-ocr/tesseract/blob/main/ChangeLog)** for more details of the releases.
## Installing Tesseract
You can either [Install Tesseract via pre-built binary package](https://tesseract-ocr.github.io/tessdoc/Installation.html)
or [build it from source](https://tesseract-ocr.github.io/tessdoc/Compiling.html).
Before building Tesseract from source, please check that your system has a compiler which is one of the [supported compilers](https://tesseract-ocr.github.io/tessdoc/supported-compilers.html).
## Running Tesseract
Basic **[command line usage](https://tesseract-ocr.github.io/tessdoc/Command-Line-Usage.html)**:
tesseract imagename outputbase [-l lang] [--oem ocrenginemode] [--psm pagesegmode] [configfiles...]
For more information about the various command line options use `tesseract --help` or `man tesseract`.
Examples can be found in the [documentation](https://tesseract-ocr.github.io/tessdoc/Command-Line-Usage.html#simplest-invocation-to-ocr-an-image).
## For developers
Developers can use `libtesseract` [C](https://github.com/tesseract-ocr/tesseract/blob/main/include/tesseract/capi.h) or
[C++](https://github.com/tesseract-ocr/tesseract/blob/main/include/tesseract/baseapi.h) API to build their own application. If you need bindings to `libtesseract` for other programming languages, please see the
[wrapper](https://tesseract-ocr.github.io/tessdoc/AddOns.html#tesseract-wrappers) section in the AddOns documentation.
Documentation of Tesseract generated from source code by doxygen can be found on [tesseract-ocr.github.io](https://tesseract-ocr.github.io/).
## Support
Before you submit an issue, please review **[the guidelines for this repository](https://github.com/tesseract-ocr/tesseract/blob/main/CONTRIBUTING.md)**.
For support, first read the [documentation](https://tesseract-ocr.github.io/tessdoc/),
particularly the [FAQ](https://tesseract-ocr.github.io/tessdoc/FAQ.html) to see if your problem is addressed there.
If not, search the [Tesseract user forum](https://groups.google.com/g/tesseract-ocr), the [Tesseract developer forum](https://groups.google.com/g/tesseract-dev) and [past issues](https://github.com/tesseract-ocr/tesseract/issues), and if you still can't find what you need, ask for support in the mailing-lists.
Mailing-lists:
* [tesseract-ocr](https://groups.google.com/g/tesseract-ocr) - For tesseract users.
* [tesseract-dev](https://groups.google.com/g/tesseract-dev) - For tesseract developers.
Please report an issue only for a **bug**, not for asking questions.
## License
The code in this repository is licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
**NOTE**: This software depends on other packages that may be licensed under different open source licenses.
Tesseract uses [Leptonica library](http://leptonica.com/) which essentially
uses a [BSD 2-clause license](http://leptonica.com/about-the-license.html).
## Dependencies
Tesseract uses [Leptonica library](https://github.com/DanBloomberg/leptonica)
for opening input images (e.g. not documents like pdf).
It is suggested to use leptonica with built-in support for [zlib](https://zlib.net),
[png](https://sourceforge.net/projects/libpng) and
[tiff](http://www.simplesystems.org/libtiff) (for multipage tiff).
## Latest Version of README
For the latest online version of the README.md see:
<https://github.com/tesseract-ocr/tesseract/blob/main/README.md>

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<h1>
LSTMEVAL(1) Manual Page
</h1>
<h2>NAME</h2>
<div class="sectionbody">
<p>lstmeval -
Evaluation program for LSTM-based networks.
</p>
</div>
</div>
<div id="content">
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p><strong>lstmeval</strong> --model <em>lang.lstm|modelname_checkpoint|modelname_N.NN_NN_NN.checkpoint</em> [--traineddata lang/lang.traineddata] --eval_listfile <em>lang.eval_files.txt</em> [--verbosity N] [--max_image_MB NNNN]</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>lstmeval(1) evaluates LSTM-based networks. Either a recognition model or a training checkpoint can be given as input for evaluation along with a list of lstmf files. If evaluating a training checkpoint, <em>--traineddata</em> should also be specified. Intermediate training checkpoints can also be used.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_options">OPTIONS</h2>
<div class="sectionbody">
<div class="dlist"><dl>
<dt class="hdlist1">
<em>--model FILE</em>
</dt>
<dd>
<p>
Name of model file (training or recognition) (type:string default:)
</p>
</dd>
<dt class="hdlist1">
<em>--traineddata FILE</em>
</dt>
<dd>
<p>
If model is a training checkpoint, then traineddata must be the traineddata file that was given to the trainer (type:string default:)
</p>
</dd>
<dt class="hdlist1">
<em>--eval_listfile FILE</em>
</dt>
<dd>
<p>
File listing sample files in lstmf training format. (type:string default:)
</p>
</dd>
<dt class="hdlist1">
<em>--max_image_MB INT</em>
</dt>
<dd>
<p>
Max memory to use for images. (type:int default:2000)
</p>
</dd>
<dt class="hdlist1">
<em>--verbosity INT</em>
</dt>
<dd>
<p>
Amount of diagnosting information to output (0-2). (type:int default:1)
</p>
</dd>
</dl></div>
</div>
</div>
<div class="sect1">
<h2 id="_history">HISTORY</h2>
<div class="sectionbody">
<div class="paragraph"><p>lstmeval(1) was first made available for tesseract4.00.00alpha.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_resources">RESOURCES</h2>
<div class="sectionbody">
<div class="paragraph"><p>Main web site: <a href="https://github.com/tesseract-ocr">https://github.com/tesseract-ocr</a><br>
Information on training tesseract LSTM: <a href="https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html">https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html</a></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1)</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (C) 2012 Google, Inc.
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
</div>
</div>
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<body class="manpage">
<div id="header">
<h1>
LSTMTRAINING(1) Manual Page
</h1>
<h2>NAME</h2>
<div class="sectionbody">
<p>lstmtraining -
Training program for LSTM-based networks.
</p>
</div>
</div>
<div id="content">
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p><strong>lstmtraining</strong>
--continue_from <em>train_output_dir/continue_from_lang.lstm</em>
--old_traineddata <em>bestdata_dir/continue_from_lang.traineddata</em>
--traineddata <em>train_output_dir/lang/lang.traineddata</em>
--max_iterations <em>NNN</em>
--debug_interval <em>0|-1</em>
--train_listfile <em>train_output_dir/lang.training_files.txt</em>
--model_output <em>train_output_dir/newlstmmodel</em></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>lstmtraining(1) trains LSTM-based networks using a list of lstmf files and starter traineddata file as the main input. Training from scratch is not recommended to be done by users. Finetuning (example command shown in synopsis above) or replacing a layer options can be used instead. Different options apply to different types of training.
Read the [training documentation](<a href="https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html">https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html</a>) for details.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_options">OPTIONS</h2>
<div class="sectionbody">
<div class="dlist"><dl>
<dt class="hdlist1">
'--debug_interval '
</dt>
<dd>
<p>
How often to display the alignment. (type:int default:0)
</p>
</dd>
<dt class="hdlist1">
'--net_mode '
</dt>
<dd>
<p>
Controls network behavior. (type:int default:192)
</p>
</dd>
<dt class="hdlist1">
'--perfect_sample_delay '
</dt>
<dd>
<p>
How many imperfect samples between perfect ones. (type:int default:0)
</p>
</dd>
<dt class="hdlist1">
'--max_image_MB '
</dt>
<dd>
<p>
Max memory to use for images. (type:int default:6000)
</p>
</dd>
<dt class="hdlist1">
'--append_index '
</dt>
<dd>
<p>
Index in continue_from Network at which to attach the new network defined by net_spec (type:int default:-1)
</p>
</dd>
<dt class="hdlist1">
'--max_iterations '
</dt>
<dd>
<p>
If set, exit after this many iterations. A negative value is interpreted as epochs, 0 means infinite iterations. (type:int default:0)
</p>
</dd>
<dt class="hdlist1">
'--target_error_rate '
</dt>
<dd>
<p>
Final error rate in percent. (type:double default:0.01)
</p>
</dd>
<dt class="hdlist1">
'--weight_range '
</dt>
<dd>
<p>
Range of initial random weights. (type:double default:0.1)
</p>
</dd>
<dt class="hdlist1">
'--learning_rate '
</dt>
<dd>
<p>
Weight factor for new deltas. (type:double default:0.001)
</p>
</dd>
<dt class="hdlist1">
'--momentum '
</dt>
<dd>
<p>
Decay factor for repeating deltas. (type:double default:0.5)
</p>
</dd>
<dt class="hdlist1">
'--adam_beta '
</dt>
<dd>
<p>
Decay factor for repeating deltas. (type:double default:0.999)
</p>
</dd>
<dt class="hdlist1">
'--stop_training '
</dt>
<dd>
<p>
Just convert the training model to a runtime model. (type:bool default:false)
</p>
</dd>
<dt class="hdlist1">
'--convert_to_int '
</dt>
<dd>
<p>
Convert the recognition model to an integer model. (type:bool default:false)
</p>
</dd>
<dt class="hdlist1">
'--sequential_training '
</dt>
<dd>
<p>
Use the training files sequentially instead of round-robin. (type:bool default:false)
</p>
</dd>
<dt class="hdlist1">
'--debug_network '
</dt>
<dd>
<p>
Get info on distribution of weight values (type:bool default:false)
</p>
</dd>
<dt class="hdlist1">
'--randomly_rotate '
</dt>
<dd>
<p>
Train OSD and randomly turn training samples upside-down (type:bool default:false)
</p>
</dd>
<dt class="hdlist1">
'--net_spec '
</dt>
<dd>
<p>
Network specification (type:string default:)
</p>
</dd>
<dt class="hdlist1">
'--continue_from '
</dt>
<dd>
<p>
Existing model to extend (type:string default:)
</p>
</dd>
<dt class="hdlist1">
'--model_output '
</dt>
<dd>
<p>
Basename for output models (type:string default:lstmtrain)
</p>
</dd>
<dt class="hdlist1">
'--train_listfile '
</dt>
<dd>
<p>
File listing training files in lstmf training format. (type:string default:)
</p>
</dd>
<dt class="hdlist1">
'--eval_listfile '
</dt>
<dd>
<p>
File listing eval files in lstmf training format. (type:string default:)
</p>
</dd>
<dt class="hdlist1">
'--traineddata '
</dt>
<dd>
<p>
Starter traineddata with combined Dawgs/Unicharset/Recoder for language model (type:string default:)
</p>
</dd>
<dt class="hdlist1">
'--old_traineddata '
</dt>
<dd>
<p>
When changing the character set, this specifies the traineddata with the old character set that is to be replaced (type:string default:)
</p>
</dd>
</dl></div>
</div>
</div>
<div class="sect1">
<h2 id="_history">HISTORY</h2>
<div class="sectionbody">
<div class="paragraph"><p>lstmtraining(1) was first made available for tesseract4.00.00alpha.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_resources">RESOURCES</h2>
<div class="sectionbody">
<div class="paragraph"><p>Main web site: <a href="https://github.com/tesseract-ocr">https://github.com/tesseract-ocr</a><br>
Information on training tesseract LSTM: <a href="https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html">https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html</a></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1)</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (C) 2012 Google, Inc.
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
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<h1>
MERGE_UNICHARSETS(1) Manual Page
</h1>
<h2>NAME</h2>
<div class="sectionbody">
<p>merge_unicharsets -
Simple tool to merge two or more unicharsets.
</p>
</div>
</div>
<div id="content">
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p><strong>merge_unicharsets</strong> <em>unicharset-in-1</em> &#8230; <em>unicharset-in-n</em> <em>unicharset-out</em></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>merge_unicharsets(1) is a simple tool to merge two or more unicharsets.
It could be used to create a combined unicharset for a script-level engine,
like the new Latin or Devanagari.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_in_out_arguments">IN/OUT ARGUMENTS</h2>
<div class="sectionbody">
<div class="dlist"><dl>
<dt class="hdlist1">
<em>unicharset-in-1</em>
</dt>
<dd>
<p>
(Input) The name of the first unicharset file to be merged.
</p>
</dd>
<dt class="hdlist1">
<em>unicharset-in-n</em>
</dt>
<dd>
<p>
(Input) The name of the nth unicharset file to be merged.
</p>
</dd>
<dt class="hdlist1">
<em>unicharset-out</em>
</dt>
<dd>
<p>
(Output) The name of the merged unicharset file.
</p>
</dd>
</dl></div>
</div>
</div>
<div class="sect1">
<h2 id="_history">HISTORY</h2>
<div class="sectionbody">
<div class="paragraph"><p>merge_unicharsets(1) was first made available for tesseract4.00.00alpha.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_resources">RESOURCES</h2>
<div class="sectionbody">
<div class="paragraph"><p>Main web site: <a href="https://github.com/tesseract-ocr">https://github.com/tesseract-ocr</a><br>
Information on training tesseract LSTM: <a href="https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html">https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html</a></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1)</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (C) 2012 Google, Inc.
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
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<body class="manpage">
<div id="header">
<h1>
MFTRAINING(1) Manual Page
</h1>
<h2>NAME</h2>
<div class="sectionbody">
<p>mftraining -
feature training for Tesseract
</p>
</div>
</div>
<div id="content">
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p>mftraining -U <em>unicharset</em> -O <em>lang.unicharset</em> <em>FILE</em>&#8230;</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>mftraining takes a list of .tr files, from which it generates the
files <strong>inttemp</strong> (the shape prototypes), <strong>shapetable</strong>, and <strong>pffmtable</strong>
(the number of expected features for each character). (A fourth file
called Microfeat is also written by this program, but it is not used.)</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_options">OPTIONS</h2>
<div class="sectionbody">
<div class="dlist"><dl>
<dt class="hdlist1">
-U <em>FILE</em>
</dt>
<dd>
<p>
(Input) The unicharset generated by unicharset_extractor(1)
</p>
</dd>
<dt class="hdlist1">
-F <em>font_properties_file</em>
</dt>
<dd>
<p>
(Input) font properties file, each line is of the following form, where each field other than the font name is 0 or 1:
</p>
<div class="literalblock">
<div class="content monospaced">
<pre>*font_name* *italic* *bold* *fixed_pitch* *serif* *fraktur*</pre>
</div></div>
</dd>
<dt class="hdlist1">
-X <em>xheights_file</em>
</dt>
<dd>
<p>
(Input) x heights file, each line is of the following form, where xheight is calculated as the pixel x height of a character drawn at 32pt on 300 dpi. [ That is, if base x height + ascenders + descenders = 133, how much is x height? ]
</p>
<div class="literalblock">
<div class="content monospaced">
<pre>*font_name* *xheight*</pre>
</div></div>
</dd>
<dt class="hdlist1">
-D <em>dir</em>
</dt>
<dd>
<p>
Directory to write output files to.
</p>
</dd>
<dt class="hdlist1">
-O <em>FILE</em>
</dt>
<dd>
<p>
(Output) The output unicharset that will be given to combine_tessdata(1)
</p>
</dd>
</dl></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1), cntraining(1), unicharset_extractor(1), combine_tessdata(1),
shapeclustering(1), unicharset(5)</p></div>
<div class="paragraph"><p><a href="https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html">https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html</a></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (C) Hewlett-Packard Company, 1988
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
</div>
</div>
</body>
</html>

View File

@ -0,0 +1,831 @@
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<body class="manpage">
<div id="header">
<h1>
SET_UNICHARSET_PROPERTIES(1) Manual Page
</h1>
<h2>NAME</h2>
<div class="sectionbody">
<p>set_unicharset_properties -
set properties about the unichars
</p>
</div>
</div>
<div id="content">
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p><strong>set_unicharset_properties</strong> --U <em>input_unicharsetfile</em> --script_dir <em>/path/to/langdata</em> --O <em>output_unicharsetfile</em></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>set_unicharset_properties(1) reads a unicharset file, puts the result in a UNICHARSET object, fills it with properties about the unichars it contains and writes the result back to another unicharset file.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_options">OPTIONS</h2>
<div class="sectionbody">
<div class="dlist"><dl>
<dt class="hdlist1">
<em>--script_dir /path/to/langdata</em>
</dt>
<dd>
<p>
(Input) Specify the location of directory for universal script unicharsets and font xheights (type:string default:)
</p>
</dd>
<dt class="hdlist1">
<em>--U unicharsetfile</em>
</dt>
<dd>
<p>
(Input) Specify the location of the unicharset to load as input.
</p>
</dd>
<dt class="hdlist1">
<em>--O unicharsetfile</em>
</dt>
<dd>
<p>
(Output) Specify the location of the unicharset to be written with updated properties.
</p>
</dd>
</dl></div>
</div>
</div>
<div class="sect1">
<h2 id="_history">HISTORY</h2>
<div class="sectionbody">
<div class="paragraph"><p>set_unicharset_properties(1) was first made available for tesseract version 3.03.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_resources">RESOURCES</h2>
<div class="sectionbody">
<div class="paragraph"><p>Main web site: <a href="https://github.com/tesseract-ocr">https://github.com/tesseract-ocr</a><br>
Information on training: <a href="https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html">https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html</a></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1)</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (C) 2012 Google, Inc.
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
</div>
</div>
</body>
</html>

View File

@ -0,0 +1,850 @@
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<body class="manpage">
<div id="header">
<h1>
SHAPECLUSTERING(1) Manual Page
</h1>
<h2>NAME</h2>
<div class="sectionbody">
<p>shapeclustering -
shape clustering training for Tesseract
</p>
</div>
</div>
<div id="content">
<div class="sect1">
<h2 id="_synopsis">SYNOPSIS</h2>
<div class="sectionbody">
<div class="paragraph"><p>shapeclustering -D <em>output_dir</em>
-U <em>unicharset</em> -O <em>mfunicharset</em>
-F <em>font_props</em> -X <em>xheights</em>
<em>FILE</em>&#8230;</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_description">DESCRIPTION</h2>
<div class="sectionbody">
<div class="paragraph"><p>shapeclustering(1) takes extracted feature .tr files (generated by
tesseract(1) run in a special mode from box files) and produces a
file <strong>shapetable</strong> and an enhanced unicharset. This program is still
experimental, and is not required (yet) for training Tesseract.</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_options">OPTIONS</h2>
<div class="sectionbody">
<div class="dlist"><dl>
<dt class="hdlist1">
-U <em>FILE</em>
</dt>
<dd>
<p>
The unicharset generated by unicharset_extractor(1).
</p>
</dd>
<dt class="hdlist1">
-D <em>dir</em>
</dt>
<dd>
<p>
Directory to write output files to.
</p>
</dd>
<dt class="hdlist1">
-F <em>font_properties_file</em>
</dt>
<dd>
<p>
(Input) font properties file, where each line is of the following form, where each field other than the font name is 0 or 1:
</p>
<div class="literalblock">
<div class="content monospaced">
<pre>'font_name' 'italic' 'bold' 'fixed_pitch' 'serif' 'fraktur'</pre>
</div></div>
</dd>
<dt class="hdlist1">
-X <em>xheights_file</em>
</dt>
<dd>
<p>
(Input) x heights file, each line is of the following form, where xheight is calculated as the pixel x height of a character drawn at 32pt on 300 dpi. [ That is, if base x height + ascenders + descenders = 133, how much is x height? ]
</p>
<div class="literalblock">
<div class="content monospaced">
<pre>'font_name' 'xheight'</pre>
</div></div>
</dd>
<dt class="hdlist1">
-O <em>FILE</em>
</dt>
<dd>
<p>
The output unicharset that will be given to combine_tessdata(1).
</p>
</dd>
</dl></div>
</div>
</div>
<div class="sect1">
<h2 id="_see_also">SEE ALSO</h2>
<div class="sectionbody">
<div class="paragraph"><p>tesseract(1), cntraining(1), unicharset_extractor(1), combine_tessdata(1),
unicharset(5)</p></div>
<div class="paragraph"><p><a href="https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html">https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html</a></p></div>
</div>
</div>
<div class="sect1">
<h2 id="_copying">COPYING</h2>
<div class="sectionbody">
<div class="paragraph"><p>Copyright (C) Google, 2011
Licensed under the Apache License, Version 2.0</p></div>
</div>
</div>
<div class="sect1">
<h2 id="_author">AUTHOR</h2>
<div class="sectionbody">
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
</div>
</div>
</div>
<div id="footnotes"><hr></div>
<div id="footer">
<div id="footer-text">
Last updated
2024-05-19 13:04:22 CEST
</div>
</div>
</body>
</html>

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tessedit_create_alto 1

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@ -0,0 +1,7 @@
tessedit_ambigs_training 1
load_freq_dawg 0
load_punc_dawg 0
load_system_dawg 0
load_number_dawg 0
ambigs_debug_level 3
load_fixed_length_dawgs 0

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@ -0,0 +1 @@
tessedit_zero_rejection T

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@ -0,0 +1,5 @@
load_bigram_dawg True
tessedit_enable_bigram_correction True
tessedit_bigram_debug 3
save_raw_choices True
save_alt_choices True

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@ -0,0 +1,12 @@
disable_character_fragments T
file_type .bl
textord_fast_pitch_test T
tessedit_zero_rejection T
tessedit_minimal_rejection F
tessedit_write_rep_codes F
edges_children_fix F
edges_childarea 0.65
edges_boxarea 0.9
tessedit_resegment_from_boxes T
tessedit_train_from_boxes T
textord_no_rejects T

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@ -0,0 +1,13 @@
file_type .bl
#tessedit_use_nn F
textord_fast_pitch_test T
tessedit_zero_rejection T
tessedit_minimal_rejection F
tessedit_write_rep_codes F
edges_children_fix F
edges_childarea 0.65
edges_boxarea 0.9
tessedit_resegment_from_boxes T
tessedit_train_from_boxes T
#textord_repeat_extraction F
textord_no_rejects T

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@ -0,0 +1 @@
tessedit_char_whitelist 0123456789-.

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@ -0,0 +1 @@
tessedit_write_images T

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@ -0,0 +1,2 @@
tessedit_create_hocr 1
hocr_font_info 0

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@ -0,0 +1,2 @@
interactive_display_mode T
tessedit_display_outwords T

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@ -0,0 +1,4 @@
textord_skewsmooth_offset 8
textord_skewsmooth_offset2 8
textord_merge_desc 0.5
textord_no_rejects 1

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@ -0,0 +1,2 @@
tessedit_resegment_from_line_boxes 1
tessedit_make_boxes_from_boxes 1

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@ -0,0 +1 @@
debug_file tesseract.log

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@ -0,0 +1,11 @@
file_type .bl
textord_fast_pitch_test T
tessedit_zero_rejection T
tessedit_minimal_rejection F
tessedit_write_rep_codes F
edges_children_fix F
edges_childarea 0.65
edges_boxarea 0.9
tessedit_train_line_recognizer T
textord_no_rejects T
tessedit_init_config_only T

View File

@ -0,0 +1 @@
tessedit_create_lstmbox 1

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@ -0,0 +1,4 @@
stopper_debug_level 1
classify_debug_level 1
segsearch_debug_level 1
language_model_debug_level 3

View File

@ -0,0 +1 @@
tessedit_create_boxfile 1

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@ -0,0 +1,3 @@
tessedit_create_page_xml 1
# page_xml_polygon 1
# page_xml_level 0

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@ -0,0 +1 @@
tessedit_create_pdf 1

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@ -0,0 +1 @@
debug_file /dev/null

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@ -0,0 +1,2 @@
tessedit_resegment_from_boxes 1
tessedit_make_boxes_from_boxes 1

View File

@ -0,0 +1,12 @@
textord_show_blobs 0
textord_debug_tabfind 3
textord_tabfind_show_partitions 1
textord_tabfind_show_initial_partitions 1
textord_tabfind_show_columns 1
textord_tabfind_show_blocks 1
textord_tabfind_show_initialtabs 1
textord_tabfind_show_finaltabs 1
textord_tabfind_show_strokewidths 1
textord_tabfind_show_vlines 0
textord_tabfind_show_images 1
tessedit_dump_pageseg_images 0

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@ -0,0 +1 @@
tessedit_create_tsv 1

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@ -0,0 +1,3 @@
# This config file should be used with other config files which create renderers.
# usage example: tesseract eurotext.tif eurotext txt hocr pdf
tessedit_create_txt 1

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@ -0,0 +1,2 @@
tessedit_write_unlv 1
unlv_tilde_crunching T

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@ -0,0 +1 @@
tessedit_create_wordstrbox 1

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@ -0,0 +1 @@
# No content needed as all defaults are correct.

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@ -0,0 +1,2 @@
chop_enable 0
wordrec_enable_assoc 0

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