Abstract
In this paper, we present a novel biometric technology—handprint recognition. Handprint is obtained from the inner surface of a hand between the wrist and the top of the fingers, which contains the principal lines, wrinkles and ridges on the palm, finger and fingerprint. This paper discusses the advantages of this novel biometric: simple preprocessing and more distinctive features deployed. Furthermore, we make some elementary experiments on some essential aspects of this technology including preprocessing, feature representation and classifier design. The preliminary experimental results on the dataset sized of 50 persons are very encouraging, which suggests that more research work should be carried on this novel biometric.
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Feng, G., Zhao, Q., Duan, M., Hu, D., Hu, Y. (2009). Handprint Recognition: A Novel Biometric Technology. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_69
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DOI: https://doi.org/10.1007/978-3-642-01513-7_69
Publisher Name: Springer, Berlin, Heidelberg
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