1.制作.box档案文件.

tesseract [lang].[fontname].exp[num].tif [lang].[fontname].exp[num] -l yournewlanguage batch.nochop makebox

2.开始培训

tesseract [lang].[fontname].exp[num].tif [lang].[fontname].exp[num] box.train

或

tesseract [lang].[fontname].exp[num].tif [lang].[fontname].exp[num] box.train.stderr

set_unicharset_properties

不知道什么来的

training/set_unicharset_properties -U input_unicharset -O output_unicharset --script_dir=training/langdata

font_properties

字体属性文件

<fontname> <italic> <bold> <fixed> <serif> <fraktur>

在<字体>是一个字符串命名的字体 ; <斜体>，<加粗>，<固定>，<衬线>和<哥特体>都是简单的0或1标志指示字体是与否的属性。

Example:

timesitalic 1 0 0 1 0

----在3.03，有一个默认的font_properties文件，涵盖3000字体（不一定准确）培训/langdata / font_properties。

shapeclustering 创建主控形状表的聚类形状并将其写入一个文件shapetable。

shapeclustering -F font_properties -U unicharset lang.fontname.exp0.tr lang.fontname.exp1.tr ...

----如果你得到错误信息，像这样的 "index >= 0 && index < size_used_:Error:Assert failed in genericvector.h, line 512" 添加shapetable文件到您的语言数据文件。

mftraining -F font_properties -U unicharset -O lang.unicharset lang.fontname.exp0.tr lang.fontname.exp1.tr ...

你的文件是通过unicharset_extractor以上产生的unicharset，和lang.unicharset是输出unicharset将给予combine_tessdata。mftraining将输出两个数据文件：inttemp（形状的原型）和pffmtable（每个字符的预期功能）。

输出normproto数据文件

cntraining lang.fontname.exp0.tr lang.fontname.exp1.tr ...

数据字典（可选）

Name	Type	Description
word-dawg	dawg	A dawg made from dictionary words from the language.
freq-dawg	dawg	A dawg made from the most frequent words which would have gone into word-dawg.
punc-dawg	dawg	A dawg made from punctuation patterns found around words. The "word" part is replaced by a single space.
number-dawg	dawg	A dawg made from tokens which originally contained digits. Each digit is replaced by a space character.
fixed-length-dawgs	dawg	Several dawgs of different fixed lengths —— useful for languages like Chinese.
bigram-dawg	dawg	A dawg of word bigrams where the words are separated by a space and each digit is replaced by a ?.
unambig-dawg	dawg	TODO: Describe.
user-words	text	A list of extra words to add to the dictionary. Usually left empty to be added by users if they require it; see tesseract(1).

wordlist2dawg frequent_words_list lang.freq-dawg lang.unicharset
wordlist2dawg words_list lang.word-dawg lang.unicharset

参考资料:

WIKI

https://code.google.com/p/tesseract-ocr/wiki/FAQ

https://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3#font_properties_(new_in_3.01)

http://tesseract-ocr.googlecode.com/svn-history/trunk/doc/wordlist2dawg.1.html

COMBINE_TESSDATA(1) Manual Page

http://tesseract-ocr.googlecode.com/svn-history/r800/trunk/doc/combine_tessdata.1.html