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https://github.com/tesseract-ocr/tesseract.git
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git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@670 d0cd1f9f-072b-0410-8dd7-cf729c803f20
103 lines
3.4 KiB
XML
103 lines
3.4 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE refentry PUBLIC "-//OASIS//DTD DocBook XML V4.5//EN" "http://www.oasis-open.org/docbook/xml/4.5/docbookx.dtd">
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<?asciidoc-toc?>
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<?asciidoc-numbered?>
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<refentry lang="en">
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<refmeta>
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<refentrytitle>shapeclustering</refentrytitle>
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<manvolnum>1</manvolnum>
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<refmiscinfo class="source"> </refmiscinfo>
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<refmiscinfo class="manual"> </refmiscinfo>
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</refmeta>
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<refnamediv>
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<refname>shapeclustering</refname>
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<refpurpose>shape clustering training for Tesseract</refpurpose>
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</refnamediv>
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<refsynopsisdiv id="_synopsis">
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<simpara>shapeclustering -D <emphasis>output_dir</emphasis>
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-U <emphasis>unicharset</emphasis> -O <emphasis>mfunicharset</emphasis>
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-F <emphasis>font_props</emphasis> -X <emphasis>xheights</emphasis>
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<emphasis>FILE</emphasis>…</simpara>
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</refsynopsisdiv>
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<refsect1 id="_description">
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<title>DESCRIPTION</title>
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<simpara>shapeclustering(1) takes extracted feature .tr files (generated by
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tesseract(1) run in a special mode from box files) and produces a
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file <emphasis role="strong">shapetable</emphasis> and an enhanced unicharset. This program is still
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experimental, and is not required (yet) for training Tesseract.</simpara>
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</refsect1>
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<refsect1 id="_options">
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<title>OPTIONS</title>
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<variablelist>
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<varlistentry>
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<term>
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-U <emphasis>FILE</emphasis>
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</term>
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<listitem>
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<simpara>
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The unicharset generated by unicharset_extractor(1).
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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-D <emphasis>dir</emphasis>
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</term>
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<listitem>
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<simpara>
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Directory to write output files to.
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</simpara>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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-F <emphasis>font_properties_file</emphasis>
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</term>
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<listitem>
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<simpara>
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(Input) font properties file, where each line is of the following form, where each field other than the font name is 0 or 1:
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</simpara>
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<literallayout class="monospaced">'font_name' 'italic' 'bold' 'fixed_pitch' 'serif' 'fraktur'</literallayout>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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-X <emphasis>xheights_file</emphasis>
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</term>
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<listitem>
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<simpara>
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(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? ]
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</simpara>
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<literallayout class="monospaced">'font_name' 'xheight'</literallayout>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term>
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-O <emphasis>FILE</emphasis>
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</term>
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<listitem>
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<simpara>
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The output unicharset that will be given to combine_tessdata(1).
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</simpara>
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</listitem>
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</varlistentry>
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</variablelist>
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</refsect1>
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<refsect1 id="_see_also">
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<title>SEE ALSO</title>
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<simpara>tesseract(1), cntraining(1), unicharset_extractor(1), combine_tessdata(1),
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unicharset(5)</simpara>
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<simpara><ulink url="http://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3">http://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3</ulink></simpara>
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</refsect1>
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<refsect1 id="_copying">
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<title>COPYING</title>
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<simpara>Copyright (C) Google, 2011
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Licensed under the Apache License, Version 2.0</simpara>
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</refsect1>
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<refsect1 id="_author">
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<title>AUTHOR</title>
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<simpara>The Tesseract OCR engine was written by Ray Smith and his research groups
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at Hewlett Packard (1985-1995) and Google (2006-present).</simpara>
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</refsect1>
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</refentry>
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