Abstract
The global geometric framework of fingerprint ridges of pattern area represents an intrinsic property of a fingerprint image, which is one of the most important features of fingerprints, and is of the signification for fingerprint classification. In this paper, we presented a robust pseudoridges extraction algorithm for fingerprints to gain the global geometric shape of fingerprint ridges of pattern area. The algorithm adopts the skillful processing method for orientation field estimates, so that the pseudoridge traced remains constant under large variations of local ridge orientation. Hence it is more robust than the feature of the specific ridges. In the tracing process, we present a method with adaptive tracing and estimating the orientation only on the traced point, so that the operation time is reduced. The algorithm for pseudoridges extraction is simple and intuitive, and gets the good performance according to the experimental results.
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Tan, T., Yu, Y., Cui, F. (2004). A Robust Pseudoridges Extraction Algorithm for Fingerprints. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_60
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DOI: https://doi.org/10.1007/978-3-540-30548-4_60
Publisher Name: Springer, Berlin, Heidelberg
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