Abstract
In this paper we present a hierarchy approach for singular points (SPs) detection in fingerprint images. In the coarse location stage those image blocks containing SPs are located by calculating Poincare Index in the block orientation field, the types of the SPs are determined at the same time, and orientations of cores are computed in a novel way. Then SPs are extracted according to local intensity gradient in a pixel level in the precise location stage. Experiment results show that the utilization of both high-level info and local info in this hierarchy approach leads to not only robust performance on SP detection but also good time efficiency.
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Wang, F., Zou, X., Luo, Y., Hu, J. (2004). A Hierarchy Approach for Singular Point Detection in Fingerprint Images. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_50
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DOI: https://doi.org/10.1007/978-3-540-25948-0_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22146-3
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