Hand Geometry Verification based on Chain Code and Dynamic Time Warping

This research demonstrated a technique for hand geometry biometric verification using hand contour matching. Hand shape feature is obtained by using a chain code method. Since the vector length of the hand shape chain code of each user is distinct tendency then Dynamic Time Warping (DTW) is suitable metrics to match of two chain code features. System performance was tested by using databases that consists of 75 users with 12 hand image samples for each user. The experimental results show the system produces about 84% success rate with FNMR = 7.98% and FMR = 7.92%. General Terms Biometrics, Pattern Recognition, Image analysis.