Corner Detection using Phase Congruency Features

In today´s automated world, it is always a great challenge to secure individuals personal information. Palmprint has come out to be one of the most secure and effective biometric methods to automatically identify a person´s identity. It contains so many features like geometry features, principal line features, wrinkles, ridges, delta point features, texture features and points. Here, Phase Congruency Corner Detector (PCCD) method is proposed as a corner detection technique to extract palmprint features in the form of corners. Match by Correlation is used for similarity measurement. Experiments were developed on a database of 600 images from 100 individuals, with 5 image samples per individual for training and one image sample per individual for testing. The proposed approach of Phase Congruency Corner Detector when combined together with Match by Correlation has the ability to discriminate similar palmprints.