Computer Vision, Graphics, and Image Processing
A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Effective Method to Extract Fingerprint Singular Point
HPC '00 Proceedings of the The Fourth International Conference on High-Performance Computing in the Asia-Pacific Region-Volume 2 - Volume 2
Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Localization of corresponding points in fingerprints by complex filtering
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Fingerprint reference-point detection
EURASIP Journal on Applied Signal Processing
A Novel Fingerprint Matching Algorithm Using Ridge Curvature Feature
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
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Singular Points Detection or more commonly known as 'Core Points Detection', is an important process in most fingerprint verification and identification algorithms for locating reference points for minutiae matching and classification. In this paper, we propose a new algorithm for singular points detection, which is based on scale-space analysis and curvature properties of the flow patterns of the fingerprint. The algorithm starts by examining the curvature of the fingerprint image at the coarsest scale and zoom in until the actual resolution of the image is reached. Experimental results show that the proposed algorithm is able to locate singular points in fingerprint with high accuracy.