Palmprint Recognition: A Survey- Ketan Patel

Abstract

In this paper we have used palm print recognition system as it is unique as compared to face recognition and rigid as compare to fingerprint recognition system. Different recognition algorithms are consists of four processing parts 1 Preprocessing, 2 Region of interest, 3 Feature Extraction and 4 Classification. We have discussed different standard databases which are used to validate recognition algorithm and also focused on various preprocessing techniques used by many researchers. We have also looked upon various feature extraction techniques like PCA, LDA, ICA, 2 DPCA, 2 DDFT, Wavelet, Gabor and classification techniques like Euclidean Distance, Neural Network, Support Vector Machine. In this paper different combination of above three techniques are reviewed.