I am doing my project in OCR.I have tried feed forward back propagation , Perceptron etc for training .Finally use radial basis function and got more accuracy during training phase.But the problem arise during testing part.For training , i have taken 710 characters and got 97.58% performance.But during testing i have got poor results(got 5-20% accuracy). I have used image that are written by same person for testing and training phase. Now i don't know what to do... .My last option is to change my classifier. My project depends on these. I have searched online and tried for several days(nearly 1 month) to find a solution, but nothing has worked.Could anybody help me please..............
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Make sure your target matrix contains columns of the unit matrix eye(c) where c is the number of classes.
Search for examples in NEWSGROUP and ANSWERS using
Hope this helps.
No-one knows what the "best" classifier is. We expect that a better one will be invented within the next 50,000 years. In the meantime the best of the known classifiers very likely has performance depending on the kind of characters being analyzed. So far, no-one has found any that can read what Nature has writ in the frost on the windows.