Palmprint authentication by phase congruency features

Abstract

The abstract should summarize the contents of the paper and should Palmprint recognition is an effective biometric authentication method to automatically identify a person's identity. In this paper, phase congruency method is proposed to extract features from a palm-print image for authentication. The phase congruency is one of the promising methods to analyze the image as it is invariant to image contrast and therefore can extract reliable features under varying illumination conditions. The hand image is pre-processed to get the desired Region of Interest (ROI) / palmprint. The palmprint features are extracted by phase congruency method and are stored in feature vector. Euclidean Distance similarity measurement method is used to compare the similarity/dissimilarity between two feature vectors. Experiments were developed on a database of 600 images from 100 individuals, with five image samples per individual for training and one image sample per individual for testing. © 2011 Springer-Verlag.