Fingerprint pattern classification
Pattern Recognition
Computer Vision, Graphics, and Image Processing
Fingerprint classification based on extraction and analysis of singularities and pseudoridges
VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11
Type Classification of Fingerprints: A Syntactic Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint classification method based on analysis of singularities and geometric framework
APPT'07 Proceedings of the 7th international conference on Advanced parallel processing technologies
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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.