Palm image recognition using image processing techniques

Abstract

In this research, we find the palm from the hand image firstly. And then distinguish the fingers using the triangular calculation method. In the palm detection, the color of skin, background subtraction, hand image extraction, edge detection and histogram analysis are used to achieve the goal. In fingers distinguish; we record the tips and valley of the fingers by means of calculating the histogram of the palm image firstly. Next, we find out the original point which is the center of the gravity of the palm using the area that the palm image gets rid of the fingers part. Successively, we draw the original point and center of the cut line of the palm use as the base line, means zero angle line. Meanwhile, we draw another line from tip of finger to the original point called tip line. Finally, we calculate the angle between base line and tip line use as the finger angular. Since the fingers have different angle, so the fingers are easily be distinguished. © 2013 Springer-Verlag.