Dear Sebastien Pinel (pinel-sebastien),
   I am training Tesseract for font "OCR A extended".Training process completes 
without errors. eng.traineddata is created and getting wrong results.Please 
send me training files( .tif, .box, .tr, eng.traineddata) asap.

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https://bugs.launchpad.net/bugs/710586

Title:
  X 1.0rc3: Region.text() -- known problems and needed improvements

Status in Sikuli:
  In Progress

Bug description:
  ******* this report is a summary of known problems and feature
  requests

  *** recent status information after release of rc3 see comment #6

  The text recognition feature (OCR - Region.text()) together with the
  possibility to find text in an image is still experimental and under
  developement.

  This are currently reported bugs:
  bug 777660: text recognition errors with some fonts
  bug 783082: [request] want font parameters for text recognition
  bug 735434: Text extraction from Images fails in some cases on colored 
backgrounds
  bug 695616: Inconsistency in text recognition and matching, especially with 
integers-as-text!
  bug 695650: find(text).text() does not return same text
  bug 701005: text() always returns text with trailing x'200A20'
  bug 701012: text() does not return all intervening blanks, add's others
  bug 795391: [request] OCR/tesseract: allow new training sets for other 
languages and more tesseract features

  Other experienced oddities
  -- there are problems with text, that is not in english language
  -- very small and very large fonts may not work
  -- multiline text makes problems
  -- intervening/preceding/trailing grafics and symbols are tried to be 
interpreted as text

  Tip when using Region.text():
  Currently you get the best results, when the region represents only one line 
of text and only contains text (no graphics/symbols) in english language. If 
you can influence it: make the text as large as possible.

  -- additional information:
  Internally the tesseract OCR engine (http://code.google.com/p/tesseract-ocr/) 
is used.
  So their restrictions apply (e.g. minimum size of font, ...).
  Information can be found on their Wiki.

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