Online Palmprint Identification Based on Improved 2D PCA

Palmprint recognition is one of the most reliable and new technique of biometrics.This paper presents a new approach based on 2D PCA algorithm,which extracts the statistical feature of palmprint images.Experimental results illustrate its performance and generalization ability over PCA.Furthermore,we propose improved 2D PCA method,and prove that the algorithm can hold the global scatter of the training images while decorrelates rows as well as columns of them.In this way,we obtain high accuracy(99.72%) while reducing the feature dimension efficiently,the responding time of recognition is only 0.03s,which enhances the practicability of the system.