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I used OpenCV about 15 years back to read football pools tickets. It eventually worked but my (admittedly atrocious) code was slow and clunky: a soup of mixed C

I used OpenCV about 15 years back to read football pools tickets. It eventually worked but my (admittedly atrocious) code was slow and clunky: a soup of mixed C and C++ whose sources I luckily lost:) What made the process even slower with then available hardware was the necessary deskewing if one put the ticket not perfectly aligned with the camera, which is almost always the case. Not having worked with OpenCV since then, my question is that todays newer versions and available low cost hardware (namely *PI like boards) could allow a similar but more complex process in almost realtime and reading whole digits instead of bullets. That is, an user puts a piece of paper under the camera, the software recognizes what it is by looking at common patterns it has with other similar documents, giving it proper orientation when needed, then it reads text and numeric information applying OCR code, then according to that information, fills/updates one or more fields in this or that database. Doable? Caveats?

johnnycab 8y ago
>my question is that todays newer versions and available low cost hardware (namely *PI like boards) could allow a similar but more complex process in almost realtime and reading whole digits instead of bullets. That is, an user puts a piece of paper under the camera, the software recognizes what it is by looking at common patterns it has with other similar documents, giving it proper orientation when needed, then it reads text and numeric information applying OCR code, then according to that information, fills/updates one or more fields in this or that database. Doable? Caveats? It is certainly do-able and has already been implemented by banks for image based clearance/processing of cheques[1] and fraud detection. The caveats in this case would include a large set of training data and a supervised model for handwritten examples. [1]https://www.pyimagesearch.com/2017/07/24/bank-check-ocr-with-opencv-and-python-part-i/ https://www.pyimagesearch.com/2017/07/24/bank-check-ocr-with...

johnnycab 8y ago

>my question is that todays newer versions and available low cost hardware (namely *PI like boards) could allow a similar but more complex process in almost realtime and reading whole digits instead of bullets. That is, an user puts a piece of paper under the camera, the software recognizes what it is by looking at common patterns it has with other similar documents, giving it proper orientation when needed, then it reads text and numeric information applying OCR code, then according to that information, fills/updates one or more fields in this or that database. Doable? Caveats? It is certainly do-able and has already been implemented by banks for image based clearance/processing of cheques[1] and fraud detection. The caveats in this case would include a large set of training data and a supervised model for handwritten examples. [1]https://www.pyimagesearch.com/2017/07/24/bank-check-ocr-with-opencv-and-python-part-i/ https://www.pyimagesearch.com/2017/07/24/bank-check-ocr-with...