Palmprint Region of Interest Cropping Based on Moore-Neighbor Tracing Algorithm

Abstract

In recent years, several algorithms have been proposed to extract the region of the interest (ROI) from the palmprint, by implementing morphological operations (e.g., erosion and dilation), gradient information, or edge detection algorithms to trace the boundary of the palm; which have their shortcomings in the accuracy of tracing the boundary. In the proposed method, the Moore-Neighbor tracing algorithm is implemented to trace the boundary of the palm which shows stability in extracting the boundary of the palm. The PolyU palmprint database II was used to verify the effectiveness of the proposed method. The results indicate high accuracy, of up to 98%, in extracting the boundary and successfully constructing a robust ROI cropping system.