Abstract
In this paper, palmprint features were classified into Local Features and Global Features. Based on this definition, we discussed the advantage and weakness of each kind of features and presented a new palmprint identification algorithm using combination features. In this algorithm, a new method for capturing the key points of hand geometry was proposed. Then we described our new method of palmprint feature extracting. This method considered both the global feature and local detail of a palmprint texture and proposed a new kind of palmprint feature. The experimental results demonstrated the effectiveness and accuracy of these proposed methods.
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© 2005 Springer-Verlag Berlin Heidelberg
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Wei, Xy., Xu, D., Yuan, Gw. (2005). Authorization Based on Palmprint. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_19
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DOI: https://doi.org/10.1007/11538059_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28226-6
Online ISBN: 978-3-540-31902-3
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