Palmprint verification using GridPCA for Gabor features

Abstract

Palmprint recognition is a challenging problem for reliable person authentication due to the complex patterns of palmprint image. In this paper, we propose a novel algorithm for palmprint verification based on using Grid-PCA for Gabor features. Our proposed algorithm includes the following steps: (1) Gabor feature extraction by using a Gabor function of multiple scales and orientations with the aim that optimize local properties in both spatial and frequency domain. (2) Grid-PCA is applied to effectively reduce the feature space dimension of each Gabor-filtered image. The experimental results for the verification on public palmprint databases of Indian Institute of Technology Delhi and Hong Kong Polytechnic University show that the proposed method exhibits a very high robustness and gets the best performance in comparing to other approaches in literature.