Palmprint Verification Based on Orthogonal Code

Abstract

In this paper, we propose a novel palmprint verification scheme named as Orthogonal Code based on multiple 2D Orthogonal Gabor Phase feature. A palmprint image contains various features with multiple orientations, so only a single orientation in the palmprint can not distinguish a subject well. The 2D Orthogonal Gabor filters with different orientations are employed to extract texture information and a phase-coding scheme is used to represent the palmprint. At the matching stage, Hamming distance is used as a similarity metric. The experimental results of verification on Hong Kong Polytechnic University Palmprint Database show that the proposed approach can operate at a high genuine acceptance rate of 99.3% and a low false acceptance rate of 4×10-5%, which outperforms the state-of-the-art Competitve code, OrdinalCode and Robust Line Orientation Code.