A reliable and robust verification approach using hand-print features is presented in this paper. The characteristics of the proposed approach are that two hand-base features are employed, the palm-print and finger-print features. The system consists of two parts: a convenient device for hand-print image acquisition and an efficient algorithm for fast hand-print recognition. A robust and adaptive image coordinate system is defined to facilitate feature extraction. Discrete wavelet zero-crossing encoding scheme and 2-D Gabor filter is applied to hand-print feature extraction and representation. The experimental results demonstrate the effectiveness of the proposed system. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Lu, Y., Wang, Y., Kong, J., & Jiang, L. (2006). A novel automated hand-based personal identification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4040 LNCS, pp. 404–414). Springer Verlag. https://doi.org/10.1007/11774938_32
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