Improved Palmprint Identification System
Harshala C. Salave, Dr. Sachin D. Pable
Keywords: PCA, DWT, Gaussian Filter, Canny Edge Detector, texture.
Abstract: Generally private information is provided by using passwords or Personal Identification Numbers, which is easy to implement but it is very easily stolen or forgotten or hack. In Biometrics, for individuals identification uses human physiological (which are constant throughout life like palm, face, DNA, iris etc.) or behavioral characteristics(which is not constant in life like voice, signature, keystroke, etc.). But mostly gain more attention to palmprint identification and is becoming more popular technique using for identification and promising alternatives to the traditional password or PIN based authentication techniques. In this paper propose palmprint identification using veins on the palm and fingers. Here use fusion of techniques such as Discrete Wavelet transform(DWT), Canny Edge Detector, Gaussian Filter, Principle Component Analysis(PCA).
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