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