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Possible Duplicate:
Precisely Compare 2 images for differences using OpenCV
simple and fast method to compare images for similarity

I want to compare two images. A method should compare two images and return a precentage (or number from 0 to 1) of match. This must be done as fast as possible because I want to compare one capture from cam with 32 images stored in database and return the best match.

I think SURF is not an accurate method. What do you think?

Something tells me that a single channel images would be the best way for matching, something like this:

https://i.stack.imgur.com/bfwmA.jpg

What method should I choose?

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