A new bimodal identification based on hand-geometry and palm-print
Recently, biometric based personal identification is emerging as a powerful means for automatically recognizing a person’s identity with a higher confidence. It concerns with identifying people by their physiological characteristics such as fingerprint, iris, retina, palm print, hand geometry and face or some behavioral aspects such as voice, signature and gesture.Currently, hand-based biometric technologies such as fingerprint verification and hand geometry verification most appeal to the biometric identification market. Automatic fingerprint verification is the most mature biometric technology, having been studied for more than 25 years. Currently, fingerprint authentication handles clear fingerprints very well but, because of skin problems or the nature of their work, around 2 % of the population are unable to provide clear fingerprint images Another popular, hand-based biometric technology is hand geometry. Hand geometry uses geometric information from our hands for personal verification. Simple hand features, however, provide limited information, with the result that hand geometry is not highly accurate. To overcome problems in the hand-based biometric technologies, another hand-based biometric for use in personal identification/verification, the palmprint.The palmprint, the large inner surface of a hand,contains many line features such as principal lines, wrinkles, and ridges. Because of the large surface and the abundance of line features, we expect palm prints to be robust to noise and to be highly individual.
KeywordsDiscrete Cosine Transform Recognition Rate Biometric System Hand Image Palm Print Image
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