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New approaches adopted by behavioral science researchers to use modern modeling and predicting tools such as artificial neural networks have necessitated the study and comparison of the efficiency of different learning algorithms of these networks for various applications. By using well-known and different learning algorithms, this study examines and(More)
Handwritten signature is a widely used biometric which incorporates high intra personal variance. The most challenging problem in automatic signature verification is to extract features which are robust against this natural variability and at the same time discriminate between genuine and fake samples. This paper presents a novel method for extracting(More)
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