On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov random field modeling in image analysis
Markov random field modeling in image analysis
A Combination Fingerprint Classifier
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Fingerprint Matching Using Transformation Parameter Clustering
IEEE Computational Science & Engineering
Image enhancement and minutiae matching in fingerprint verification
Pattern Recognition Letters
Alignment by maximization of mutual information
Alignment by maximization of mutual information
Fingerprint matching with registration pattern inspection
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
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This paper proposes an adaptive registration pattern based fingerprint matching method dealing with the non-linear deformations in fingerprint The “registration pattern” between two fingerprints is the optimal registration of every part of one fingerprint with respect to the other fingerprint Registration patterns generated from imposter's matching attempts are different from those patterns from genuine matching attempts, although they share some similarities in the aspect of minutiae In this paper, we combine minutiae, associate ridges and orientation fields to determine the registration pattern between two fingerprints and match them The proposed matching scheme has two stages An offline, training stage, derives a genuine registration pattern base from a set of genuine matching attempts Then, an online matching stage registers the two fingerprints and determines the registration pattern A further fine matching is conducted In addition, the block orientation field is used as the global feature of a fingerprint to improve the performance of this method And 2nd and 3rd relational structures between minutiae are applied to promote the fingerprint matching method Experimental results evaluated by FVC2004 demonstrate that the proposed algorithm is an accurate one.