Curvature-Based Singular Points Detection
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
An intelligent automatic face contour prediction system
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Fingerprint singular points detection and direction estimation with a “t” shape model
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
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In a fingerprint recognition system, preprocessing is difficult and wasted time. We propose a method to build a direction matrix, which can describe the fingerprint texture to improve the problems of obscure and broken image. Then utilize the direction matrix; we propose a feature extracting method to find out counts and locations form the fingerprint singular points, such as Core point, delta point. We use NIST (4) as fingerprint database and the results seem to encourage.