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Biometric Security System Using Palm print

A.Maniraj, J.Rama

Biometrics as a method for identification systems has been widely used for its robustness; one of its used is based on human palm. Palm has unique characteristics to be used in personal identification because of it features. In this paper the palm features are extracted using Discrete Cosine Transform energy features, Wavelet Transform energy features and Sobel Code to obtain feature vectors and the extracted features are matched individually using similarity measurement methods such as Euclidian distance and Hamming distance