also take a look at the pre-processing method mentioned at https://github.com/tleyden/open-ocr/wiki/Stroke-Width-Transform-In-Action
On Thursday, November 13, 2014 3:30:03 AM UTC+5:30, Bill Garrison wrote: > > So if someone sends in labels like the attached ones, I need to grab the > model number. So far results from straight tesseract usage are dismal. I > used an ImageMagick library to clean up the image a bit and send it in and > if its rotated at ALL the results are still dismal. Overall, I am just > looking to increase accuracy. > > Steps I have taken: > > 1) Using pre-processing library to clean up image > 2) Added a new config that turns off dictionary and calls in a words file > that has all the different samsung model numbers in it > 3) tried to take my most promising pre-processed image and create a box > file and then used "tesseract <image_name> <box_file_name> nobatch > box.train" to train tesseract to not miss the two characters it missed > ....this caused a segmentation fault. > > Any hints or advice about how I can use tesseract to grab this information > with at least 50% accuracy would be GREATLY appreciated. > > Thanks!! > -- 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 post to this group, send email to tesseract-ocr@googlegroups.com. Visit this group at http://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/6ca66acf-481b-4b39-b18f-e7fbe832c265%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
