1SHAPECLUSTERING(1)                                          SHAPECLUSTERING(1)
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NAME

6       shapeclustering - shape clustering training for Tesseract
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SYNOPSIS

9       shapeclustering -D output_dir -U unicharset -O mfunicharset -F
10       font_props -X xheights FILE...
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DESCRIPTION

13       shapeclustering(1) takes extracted feature .tr files (generated by
14       tesseract(1) run in a special mode from box files) and produces a file
15       shapetable and an enhanced unicharset. This program is still
16       experimental, and is not required (yet) for training Tesseract.
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OPTIONS

19       -U FILE
20           The unicharset generated by unicharset_extractor(1).
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22       -D dir
23           Directory to write output files to.
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25       -F font_properties_file
26           (Input) font properties file, where each line is of the following
27           form, where each field other than the font name is 0 or 1:
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29               'font_name' 'italic' 'bold' 'fixed_pitch' 'serif' 'fraktur'
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31       -X xheights_file
32           (Input) x heights file, each line is of the following form, where
33           xheight is calculated as the pixel x height of a character drawn at
34           32pt on 300 dpi. [ That is, if base x height + ascenders +
35           descenders = 133, how much is x height? ]
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37               'font_name' 'xheight'
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39       -O FILE
40           The output unicharset that will be given to combine_tessdata(1).
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SEE ALSO

43       tesseract(1), cntraining(1), unicharset_extractor(1),
44       combine_tessdata(1), unicharset(5)
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46       https://tesseract-ocr.github.io/tessdoc/Training-Tesseract.html
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COPYING

49       Copyright (C) Google, 2011 Licensed under the Apache License, Version
50       2.0
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AUTHOR

53       The Tesseract OCR engine was written by Ray Smith and his research
54       groups at Hewlett Packard (1985-1995) and Google (2006-present).
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58                                  02/25/2022                SHAPECLUSTERING(1)