There's a presentation on the inner workings of Tesseract <https://docs.google.com/uc?authuser=0&id=0B7l10Bj_LprhbUlIUFlCdGtDYkE>, but it doesn't cover the classification process in detail.
I think Cube mode uses some sort of Neural Network, but the normal engine uses a k nearest neighbor classifier with a class pruner (see the linked slides). Am Dienstag, 29. Juli 2014 18:54:05 UTC+2 schrieb Martin M: > > > Can nobody help me to answer that question ? > -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/dd54fa8e-0206-4d45-ac07-bbceb049131a%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
