Abstract
A computer recognition system for human hands is presented in this paper. The system is based on infrared images. A multi-grid normalization technique is developed to normalize the position of the hand and fingers. Sets of geometric features, Zernike moment features and algebraic features are used in a two-stage recognition scheme. The system works very well on 300 hand samples of 30 persons with a 97% discrimination rate.
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© 1995 Springer-Verlag Berlin Heidelberg
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Wang, C., Lu, H., Ma, S. (1995). A synthesized computer recognition system for human hands. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_132
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DOI: https://doi.org/10.1007/3-540-60697-1_132
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Online ISBN: 978-3-540-49298-6
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