3 ms·

It would be really interesting to learn how you did that. https://github.com/tesseract-ocr/docs/blob/master/das_tutorial2016/6ModernizationEfforts.pdf https://

by avmich 10y ago

It would be really interesting to learn how you did that. https://github.com/tesseract-ocr/docs/blob/master/das_tutorial2016/6ModernizationEfforts.pdf https://github.com/tesseract-ocr/docs/blob/master/das_tutori... "Despite being designed over 20 years ago, the current Tesseract classifier is incredibly difficult to beat with so-called modern methods. (Without changing features or upping the number of training fonts) Why?"

Hydraulix989 10y ago
Character classification is the easy part of OCR. EDIT: It sounds like they were benchmarking a very constrained problem as well (only a single font, with certain features). One disadvantage with Tesseract is that it has to be trained by the user for specific fonts, my OCR was generalist (general shape-based character classification is practically designed for convolutional neural networks). I'd love to give more details in a blog post soon.