Coin detection to make coin matching system

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I'm developing an matching system in java using opencv the system accept an image with one object which is coin in order to determine the value of the currency.
What I did :
1-Convert image to gray level.
2-Use edge detection in the gray image the output of this step is used as input to the next step.
3-Use SIFT to find the feature descriptors.
4-Use SVM by storing the SIFT descriptors to predict the value of image.
BUT this algorithm does not give good result.
1-what can I do in order to enhance this algorithm.
2- what is the best SVM params that is suitable for this case .
3-what is the appropriate edge detection for this purpose.

Any suggestion please.
Note that in the number of coins types are five.

Posted 23-Sep-15 9:41am

UserW

Updated 23-Sep-15 9:57am

v5

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PIEBALDconsult 23-Sep-15 16:45pm

That's a hardware problem.

Mohibur Rashid 23-Sep-15 17:55pm

Agreed. reading the coin detail will not be very helpful. You would have to have hardware to separate coins. 5 coins also differ in size. In shop you will get simple coin sorter. It might help

UserW 24-Sep-15 5:40am

What u mean by "hardware problem"
Note that the image is captured by mobile's camera

PIEBALDconsult 24-Sep-15 9:16am

At best you can say "that LOOKS_LIKE_A penny", you can't say "that IS_A penny". Only a physical/hardware coin machine can do that.

UserW 24-Sep-15 10:05am

OK I see thank you

Tomas Takac 23-Sep-15 17:12pm

My guess is all of this is proprietary information.

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Maciej Los · Answer 1 · 2015-09-23T19:35:00

Image processing for coin (or face) recognition algorithm is bit difficult. I'm not a specialist in this matter, but i can refer few interesting links, for example:
Dagobert - a new coin recognition and sorting system[^] - google online book.
Designing a neural network for coin recognition by a genetic algorithm[^]
Three-Dimensional Face Recognition[^]
How iris recognition works[^]