Comparative Study of ROI Extraction of Palmprint

Abstract

-The Palmprint region segmentation is an important step in Palmprint recognition problem. A comparative study of two segmentation algorithm namely Square-based ROI detection method and Circle-based ROI detection Method are studied and implemented. Firstly, the Square-based ROI detection method uses the Binarization of Palmprint and extract the Boundary, after this detecting key points and establishing a coordination system with extracting the central part as a fixed size square. The circle based ROI detection method uses a 2D rectangular coordinate system with the y-axis formed by the line connecting k1 and k2 and the x-axis is the perpendicular line originating from the midpoint of k1 and k2. And the largest inscribed circle is extracted by searching the centre of line joining k1 -k2 and line perpendicular to it, using four directions. Palmprint region segmentation is realized based on these two methods. The experiment results show that the algorithm is accurate and effective.