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Re:Using Tesseract OCR with Python by piker on Tuesday July 11, 2017 @07:18AM (#14743166)
One possible alternative solution is to chop the image into smaller images (with something like ImageMagick) based on each value's likely location in the document, then OCR those. You get a confidence interval with tesseract, so you can iterate over possible templates (or shrink/expand crops) until you get an [edit: aggregate] interval you're comfortable with.
Re:Using Tesseract OCR with Python by kumartanmay on Thursday July 13, 2017 @11:13AM (#14761948)
Thanks for the suggestion. Will try and share the results here
Re:Using Tesseract OCR with Python by kumartanmay on Thursday July 13, 2017 @11:36AM (#14762163)
Except for the size of cheque and the position of magnetic characters, none of the text on cheques is standardised in India. Hence we might stand a chance of chopping characters