CVS commit by freitag: 

Applied Thamas' patch


  M +17 -17    README.KADMOS   1.4


--- kdegraphics/kooka/README.KADMOS  #1.3:1.4
@@ -5,9 +5,10 @@
 engine. 
 
-KAMDOS is professional OCR/ICR software component of the company
+KAMDOS is commercial OCR/ICR software component of the company
  
  reRecognition GmbH
  Hafenstr. 50B 
- 8280 Kreuzlingen, Switzerland 
+ 8280 Kreuzlingen
+ Switzerland 
  Tel.: +41 71 6780000
  Fax: +41 71 6780099
@@ -17,5 +18,5 @@
 order to achive very good ocr results.
 
-Please contact reRecognition directly if you like to obtain or test
+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
@@ -25,7 +26,8 @@
 -------------
 
-Since Kooka does not require KADMOS, it is neccessary to configure
-Kooka to use the KADMOS library. This is done by calling the configure
-script of Kooka's source distribution with parameter:
+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/
 
@@ -45,5 +47,5 @@
 
 KADMOS needs classifier files for the ocr process which come with
-the KADMOS developers pack. The classifier files need to be installed
+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/kde3/, this is for
@@ -51,20 +53,18 @@
 available classifiers up automatically.
 
-The classifiers follow a naming scheme that contains the kind of
-font and the country the classifier applies to.  
+The classifiers are named in the following way:
 
-Fontkinds are:
+[fontkind][country/region].rec, 
+where fontkinds are
 ttf  -> machine print font
-hand -> hand writing.
-norm -> ocr norm font
+hand -> handprint (isolated)
+norm -> OCR norm font
 
-This is followed by a two character country specification like de
-for germany.
 
-For example this classifier might exist:
+For example the following classifier names are used:
 
 ttfus.rec      US machineprint classifiers
 handus.rec     US handwriting classifiers
-norm.rec       Special OCR character set, no charset difference
+norm.rec       Special OCR character sets, not localized