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This paper presents the performance of signature analysis using secure sketch method and neural network approach. Here, secure sketch method is suggested which is developed to generate hash values from handwritten data. Individual hash values will be generated by using secure sketch and neural network approach. Performance of the Neural Network (PNN) is higher compared to the secure sketch method based on the collision and acceptance criterions. Many resent researches have been done in the field of biometrics. An important part of it is generating an individual and stable hash values .One problem of generation of these hashes lies in the varying biometric data of the same person, called as intra-class variation.
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