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I am working on comparing 2 word images like these:

enter image description here

enter image description here

I am trying to use OpenCV's inbuilt feature detectors for this purpose.Using SIFT and BruteForceMatcher isn't proving to be too effective as it shows a lot of matches for non-matching words also.What would be a good feature descriptor to use in this case.

Also can someone suggest a good way to quantify the probability that these 2 images are matching.

Edit:OCR can't be used as texts can be handwritten

ArtemStorozhuk
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code4fun
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  • sorry.forgot to mention..OCR can't be used as texts can be handwritten – code4fun Oct 24 '12 at 06:40
  • Are they always in a very well defined location like in the examples you provided? If so you could try template matching... – Hammer Oct 24 '12 at 15:09

1 Answers1

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I think that image (contour) moments should help you with matching selected symbol to latter from your alphabet. So after this you can match two words as sequences of letters.

ArtemStorozhuk
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