Palm print recognition using Local Binary Pattern operator and support vector machines

This paper presents a novel technique of obtaining the Region of Interest (ROI) which is square-shaped. After palm print segmentation, we perform texture feature extraction using Local Binary Pattern (LBP) based on the directional gradient response. With the feature vectors so obtained we perform matching using Support vector machines (SVM) and also using the Chi-square distance measurement. The experimental results presented in this paper show significant improvement in the performance of the biometric system with a combination of LBP and SVM.