ITK 3.10.1 (Default branch)


 
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Old 01-10-2009
ITK 3.10.1 (Default branch)

The National Library of Medicine Insight Segmentation and Registration Toolkit (ITK) is a software system to support the Visible Human Project. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with an MRI scan in order to combine the information contained in both. License: BSD License (revised) Changes:
Numerous major enhancements, including support for a wider range of data files, improved GCC support, improved Visual Studio support, functions for complex image manipulations, etc. Numerous major bugfixes. Image

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DJVU2HOCR(1)							 djvu2hocr manual						      DJVU2HOCR(1)

NAME
djvu2hocr - DjVu to hOCR converter SYNOPSIS
djvu2hocr [option...] djvu-file djvu2hocr {--version | --help | -h} DESCRIPTION
djvu2hocr converts hidden text from a DjVu file to the hOCR[1] format. OPTIONS
Text segmentation options --word-segmentation=simple Use the same word segmentation as found in the DjVu file. This is the default. --word-segmentation=uax29 Use the Unicode Text Segmentation[2] algorithm to break lines into words, possibly fixing word segmentation found in the DjVu file. Other options --version Output version information and exit. -h, --help Display help and exit. PORTABILITY
djvu2hocr uses a custom extension to hOCR to retain characters which cannot be directly represented in an HTML/XML document. For example, control character BEL (^G, U+0007), is converted into the following HTML chunk: <span class="djvu_char" title="#x07"> </span> SEE ALSO
djvu(1) AUTHOR
Jakub Wilk <jwilk@jwilk.net> Author. NOTES
1. hOCR http://docs.google.com/View?docid=dfxcv4vc_67g844kf 2. Unicode Text Segmentation http://unicode.org/reports/tr29/ djvu2hocr 0.7.9 03/10/2012 DJVU2HOCR(1)