Got it. Thanks a lot! On Thursday, December 8, 2016 at 12:50:23 AM UTC-8, Ashish Goel wrote: > > It depends. Extent of automation will depend upon your images. > If all of your images are same in size, then you can find coordinates of > your sections (Like header, store address, billing info) and use a tool > (for ex. imagemagick) to crop all of your images. Do OCR and then see what > needs to be looked at. > > if your images are of different sizes that you may have to do some kind of > image processing to rescale, resize and many other things, which will gain > depend upon the variations. > > On Thursday, December 8, 2016 at 1:13:14 PM UTC+5:30, Marie wrote: >> >> Thank you Ashish for the suggestion. >> >> The challenge is how to automate this process, any thoughts? >> >> >> On Wednesday, December 7, 2016 at 1:00:59 AM UTC-8, Ashish Goel wrote: >> >>> Crop image into sub images and then OCR. Crop it in different segments. >>> >>> On Saturday, December 3, 2016 at 5:54:51 PM UTC+5:30, Marie wrote: >>>> >>>> Hi, >>>> >>>> We are trying to recognize receipt using Tesseract (v3.02 on >>>> Windows). Tried to process the images but the words accuracy (comparing >>>> with OneNote's result) is still not good. >>>> >>>> Any suggestions on how to improve accuracy? >>>> >>>> >>>> p.s.attaching the raw image, processed image with OCR results by >>>> Tesseract, >>>> >>>> raw image: >>>> >>>> >>>> >>>> text recognized from raw image: >>>> >>>> >>>> >>>> >>>> >>>> processed image (scaled 200%, increased contrast, cropped border) >>>> >>>> Thanks, >>>> Marie >>>> >>>>
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