Palm Print Authentication using Neural Networks
نویسنده
چکیده
Biometric can be a technology for verification or identification of folks by utilizing a person’s physiological and behavioural traits. Several palm print representations happen to be proposed web hosting authentication, there may be little agreement which palm print representation can offer best representation for reliable authentication. In this particular paper, characterization of user’s identity through the simultaneous usage of two major palm print representations is completed. This paper also investigates comparative performance between Gabor and SVD (Singular Value Decomposition) based palm print representations. A palm print recognition approach using neural net is proposed. Neural networks present you with a number of advantages, including requiring less formal statistical training, capability to implicitly detect complex nonlinear relationships between dependent and independent variables.
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