Modelling fingerprint ridge orientation using Legendre polynomials
Pattern Recognition
Minutiae and modified Biocode fusion for fingerprint-based key generation
Journal of Network and Computer Applications
Scale and rotation invariant detection of singular patterns in vector flow fields
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
A novel technique for singular point detection based on Poincaré index
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Multiple factors based evaluation of fingerprint images quality
CSS'12 Proceedings of the 4th international conference on Cyberspace Safety and Security
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An algorithm is proposed which combines Zero-pole Model and Hough Transform(HT) to detect singular points. Orientation of singular points is defined on basis of Zero-pole Model which can further explain the practicability of Zero-pole Model. Contrary to orientation field generation, detection of singular points is simplified to determine the parameters of Zero-pole Model. HT uses rather global information of fingerprint images to detect singular points. This makes our algorithm more robust to noise than methods which only use local information. As Zero-pole Model may have a little warp from actual fingerprint orientation field, Poincare index is used to make position adjustment in neighborhood of the detected candidate singular points. Experimental results show that our algorithm performs well and fast enough for real time application in database NIST-4.