Hello guys! I got a really tough work in text recognition area and I'm using Tesserct-ocr as my OCR tool. The problem consist in recognize IDs printed on steel slabs and identify them. Using only Tesseract I recognize no text. So a detection and segmentation phase is necessary. With that segmentation and after training the tesseract with our dictionary, the recognition rate is about 60%.
We find a way to increase it in a probabilistic way, that would change characters, fixing common errors. To accomplish that we will need the confidence returned by the ocr tool in a character base way. I saw in code the function which returns it from a word. How could I get it for a character, is it possible with the current API? if not, is there a way to change the tesseract code to get that? Where should I start from? Thanks in advance. Best Regards Filipe -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/tesseract-ocr?hl=en
