BTW : Stackoverflow or Quora etc.. would be nice place ask such questions. There would be more heads to share their experiences and higher chances of finding a(better) solution(s).
Cheers, -Sumod On Mon, Feb 6, 2012 at 9:56 AM, Sumod K Mohan <[email protected]> wrote: > Hi, > > These are my two cents as a Computer Vision/Image processing(Biometrics : > in the past) researcher. > > 1. I do not have a list of softwares for the specific function and am not > sure if you can find one for "free" (free as in freedom or free beer). > 2. If you want to built one, here are my suggestions. This is what I would > do. It might take sometime (say a week or so) to get it working depending > on your constraints (or accuracy) and your knowledge of the area. > a. First and foremost, you will have to create a bounding box of where > to find the signature. > b. Once that is done, the simplest method would be do a simple (sum of > differences), which is to compare both images locations and see if they > have same pixel intensities. > c. Now get the score for the whole image and anything above a > threshold would be the right signature and below would not be. > d. This will only work, if the signature was exactly the same or very > very similar and both have the same location inside the bounding box, > meaning if it is not translated (no lateral movement) and the inter > character difference is also similar. So the truth is that, it won't work > most of the time. > e. Now a good hack of that would be to do this. I haven't tried this, > but feel it might be a good experience. You could give this as an input to > OCR recognition software to detect this as a single character, the > character being the signature here. Many of the OCR softwares are trained > in such a way that, it does not care whether the input is translated or > not. One of the best results are using Yann Lecun's convolutional neural > networks : http://yann.lecun.com/exdb/lenet/index.html. But even simpler > ones based on SVM or even a Naive Bayes classifier should work. > f. So simply put, the idea is to train the software using sample of > each persons signature as the character to be recognized. Now during test > if the match is high, it is good match or else its not. > > This is really a very coarse approach, based on 15 min thought. > > Regards, > -Sumod > > > > On Mon, Feb 6, 2012 at 6:28 AM, Nataraj S Narayan <[email protected]>wrote: > >> Hi Srinivas >> >> What kind of algorithm does opencv use to compare images? Hand >> signatures by the same person might never look exactly similar, except >> that the pattern might be the same. Hope opencv does more of a >> pattern analysis. >> >> Where can I get some info regarding what goes behind handwriting or >> signature analysis? Modern banks like Icici might be using some kind >> of automation for this purpose instead of person checking out on the >> signature pattern manually? >> >> Warm regards >> >> Nataraj >> >> On Mon, Feb 6, 2012 at 12:46 PM, Shrinivasan T <[email protected]> >> wrote: >> > we can use opencv to compare images >> > >> > On Feb 6, 2012 12:35 PM, "Nataraj S Narayan" <[email protected]> >> wrote: >> >> >> >> Hi >> >> >> >> Anybody aware of any Linux based software that compares two >> >> signature images and >> >> checks if it is the signature of the same person? >> >> >> >> I mean any software that detects forged signatures? >> >> >> >> regards >> >> >> >> Nataraj >> >> >> >> _______________________________________________ >> >> Indian Libre User Group Cochin Mailing List >> >> http://www.ilug-cochin.org/mailing-list/ >> >> >> http://mail.ilug-cochin.org/mailman/listinfo/mailinglist_ilug-cochin.org >> >> #[email protected] >> > >> > >> > _______________________________________________ >> > Indian Libre User Group Cochin Mailing List >> > http://www.ilug-cochin.org/mailing-list/ >> > >> http://mail.ilug-cochin.org/mailman/listinfo/mailinglist_ilug-cochin.org >> > #[email protected] >> >> _______________________________________________ >> Indian Libre User Group Cochin Mailing List >> http://www.ilug-cochin.org/mailing-list/ >> http://mail.ilug-cochin.org/mailman/listinfo/mailinglist_ilug-cochin.org >> #[email protected] >> > >
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