Abstract
This paper proposes an efficient recognition algorithm for the four finger slaps captured by HD mobile phones. Firstly, statistical histogram is used to segment the minutiae set extracted from a slap image; secondly, RST-invariant feature descriptor (RST-IFD) is proposed to match two minutiae sets. Experimental results show that the proposed algorithm has the characteristics of higher compatibility and higher speed, not only for the slaps captured by live-scan sensors but also for those captured by HD mobile phones.
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© 2015 Springer International Publishing Switzerland
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Zhang, Y., Wu, H., Huang, C., Yang, J., Jiang, X. (2015). Slap Fingerprint Recognition for HD Mobile Phones. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_30
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DOI: https://doi.org/10.1007/978-3-319-25417-3_30
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Online ISBN: 978-3-319-25417-3
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