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.
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