Defocused Palmprint Recognition Using 2DPCA

Hand-based identification have developed very recently. This paper proposes a recognizing method for defocused palmprint images using 2DPCA. In order to achieve the purpose of intercepting region of interest (ROI) of palmprint under contactlass mode, we used profile information of palm and root of fingers situations to locate characteristic points of contour. Next, the palmprint features were extracted by 2DPCA method. Finally, we used of nearest neighbor distance classifier for matching. The experimental result presents 97.71% correct recognition rate of defocused palmprint on a database of 50 subjects and shows efficiency of the method proposed in this paper.