title: Tesseract training: only few words
body: <p>I need to train tesseract to recognize just ten words.<br>
  Words are pharma name, thing like: Atrasil, Spectful <br>
  Since fonts used are pretty common, I tried to unpack eng.traineddata, substitute freq-dawg and word-dawg with just those words. Then I've repack them into a new traineddata, unfortunatly it doesn't seem to work very well. Matching results are still unacceptable and I can't use them, even when I use images obtained from a simple word file.<br>
  Is there a way to achieve a good matching? do I need to remove other files from the unpack trained data?</p>