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74 lines
2.2 KiB
74 lines
2.2 KiB
Kooka and KADMOS integration
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============================
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This file describes how to make Kooka working with the KADMOS OCR/ICR
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engine.
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KAMDOS is commercial OCR/ICR software component of the company
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reRecognition GmbH
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Hafenstr. 50B
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8280 Kreuzlingen
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Switzerland
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Tel.: +41 71 6780000
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Fax: +41 71 6780099
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www.reRecognition.com
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and Kooka can be build using the linux version of the component in
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order to achive very good ocr results.
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Please contact re Recognition directly if you like to obtain or test
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KADMOS. Note that if you are linking against KADMOS, you loose the
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permission to use the GPL Qt version, so you need a commercial Qt
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version as well.
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Configuration
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-------------
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As Kooka does not require KADMOS, it is neccessary to configure
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Kooka to use the KADMOS library. This could be done by calling the
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configure script of Kooka's source distribution with following
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parameter:
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./configure --with-kadmos-dir=/where/kadmos.h/resides/
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The configure script tries to locate the file kadmos.h in the
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directory that was specified. The KADMOS library is expected in the
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same directory. Build the source after configuring with KADMOS. Kooka
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enables the code to work with KADMOS in the source and links the
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library.
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Installation
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------------
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KADMOS is linked statically and thus there is no need for special
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installation of the KADMOS library.
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Installation of the Classifier Files:
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KADMOS needs classifier files for the ocr process which come with
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the KADMOS developer's toolkit. The classifier files need to be installed
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in the KDE application data directory for Kooka in a subdirectory named
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classifiers. If your KDE installation goes to /opt/trinity/, this is for
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example /opt/trinity/share/apps/kooka/classifiers. Kooka picks the
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available classifiers up automatically.
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The classifiers are named in the following way:
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[fontkind][country/region].rec,
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where fontkinds are
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ttf -> machine print font
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hand -> handprint (isolated)
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norm -> OCR norm font
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For example the following classifier names are used:
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ttfus.rec US machineprint classifiers
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handus.rec US handwriting classifiers
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norm.rec Special OCR character sets, not localized
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----------------------------------------------------------------------
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Klaas Freitag <freitag@suse.de>
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$Id$
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