Abstract
Recently, a new biometrics, finger-knuckle-print recognition, has attractive interests of researchers. The popular techniques used in face recognition are not applied in finger-knuckle-print recognition. Inspired by the success of Local Gabor Binary Patterns (LGBP) in face recognition, we present a method that uses LGBP to identify finger-knuckle-print images. The experimental results show that our proposed method works well.
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Xiong, M., Yang, W., Sun, C. (2011). Finger-Knuckle-Print Recognition Using LGBP. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21090-7_32
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DOI: https://doi.org/10.1007/978-3-642-21090-7_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21089-1
Online ISBN: 978-3-642-21090-7
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