I think the table lines are not helping. I up-sized your image to 1000px wide, then ran into Tesseract with PSM=6 and got mostly rubbish.
Then I removed the table lines manually in Photoshop, then up-sized your image to 1000px wide, then ran into Tesseract with PSM=6: RFZBHMEDBSR R 134a/ 160 g(5.64 oz) AC 115 VI 60 Hz 6.0 A 230 PSI I 103 PSI NOV. 2013 35 96 x 36 % x 70 Food for thought. On Wednesday, 12 November 2014 22:00:03 UTC, 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 [email protected]. To post to this group, send email to [email protected]. 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/51003f99-8792-4ff1-b21e-70922ce87809%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
