Template Matching for Coins

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I suggest you to find more research articles about coin detection and coin recognition. After reading some articles, you can get an idea about how to detect and recognize coins. And finally, you can improve some of these algorithms or propose a novel one.

In order to benchmark your algorithm, you can use your own coins, or use a standard database. For example, see the Coin Images Seibersdorf (CIS) database [1]

[1] http://muscle.caa.tuwien.ac.at/coin_p...

Some articles:

Automated Coin Recognition System using ANN

Image Processing Based Systems and Techniques for the Recognition of Ancient and Modern Coins

COIN RECOGNITION SYSTEM WITH ROTATION INVARIANT USING ARTIFICIAL NEURAL NETWORK

A Robust Method of Image Based Coin Recognition

A Robust Rotation Invariant Coin Recognition System

REVIEW ON THE COIN RECOGNITION SYSTEM WITH ROTATION INVARIANT

I am working with a very similar problem. Basically, I'm working with SVM, BoVW, SIFT and some basic preprocessing. I've got some pretty good results so far. My biggest problem is with darker coins. Since it's a part time work, I am not evolving quickly, so the papers cited by @albertofernandez will be good for me too.

Cheers

Start first by image with one coin only then if the matching system that u use is good then u can crop each coin and pass it to your matching system.

In your matching system you can use SIFT to detect key points and find descriptors then use any matcher such as FlANN matcher to find the matches.

Finally u can use RANSAC as criteria if there is good match or not . Hope this help.