Hello, I am trying to use tesseract to OCR the MICR line of checks (i.e. the micr-e13b font). The training data that I found at https://github.com/BigPino67/Tesseract-MICR-OCR/blob/master/Tessdata/mcr.traineddata does not produce accurate results on my data set.
I have a set of over 20K check images along with the MICR text for those images; however, I do not have box files for them. So I started generating box files and manually correcting them via JTessBoxEditor, but I soon learned that it would take a LONG time to do this for enough checks to properly train tesseract. So I am just started generating synthetic images using tesseract's text2image; however, the images generated are perfect (i.e. no blur, skew, etc), so I am doubting that this will result in training tesseract to handle my less-than-perfect check images. Does anyone have suggestions for the best methodology to use? Is there a way to get text2image (or another tool) to generate less-than-perfect images? Or can someone suggest a less labor intensive way of using real check images to train tesseract? Thanks in advance, Keith -- 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 tesseract-ocr+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/b92d2ab9-3da1-4ef8-bafe-5217821c5601n%40googlegroups.com.
