Self Learning Hand Recognition System Using Soft Computing
As the day to day security is a major concern the authentication problem is very crucial. The hand recognition system provides efficient way to produce the authentication using image processing. Hand recognition geometry as the name suggest uses the shape of the hand to identify the person. Unlike iris, face or fingerprints, the human hand is not unique. The existing systems use finger length, thickness and curvature for the purpose of verification but not for identification. Hand recognition geometry data is relatively easier to collect to other technologies e.g. for fingerprint collection good frictional skin is required by image systems.