Hi Leo, Your example has such good contrast that you might consider using the colors to identify single characters. I have attached a quick sample of what I mean. I used opencv and defer greatly to the blog post I reference at the top of the script, but the idea would be to try to catch single characters using opencv’s “inrange” function. I would use tesseract on the image first and weed out blobs for further processing based on the coordinates of what tesseract has already detected. I would then use single character mode on what’s left. Feel free to ping me if you are interested in this approach.
art -- 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 https://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/DM3PR11MB103680360187DF2353DC9F7BDCB10%40DM3PR11MB1036.namprd11.prod.outlook.com. For more options, visit https://groups.google.com/d/optout.
digits.py
Description: digits.py

