An adaptive and robust hand-based personal identification

Personal identification, using biometric features has been attracting much attention lately. This paper describes specific verification technology by making use of hand-print features. Two hand-based features, the finger-print and the palm-print are considered. In contrast to the existing approaches, our system employs ID hand-print signal to achieve effective personal identification. The system consists of two parts: a convenient device for hand-print image acquisition and an efficient algorithm for fast palm-print recognition. A robust and adaptive image coordinate system is defined to facilitate feature extraction. And a discrete wavelet zero-crossing encoding scheme is applied to hand-print feature extraction and representation. The experimental results demonstrate the effectiveness of the proposed system