Floating search methods in feature selection
Pattern Recognition Letters
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Fingerprint Matching Using an Orientation-Based Minutia Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint verification by fusion of optical and capacitive sensors
Pattern Recognition Letters
Fingerprint matching based on weighting method and the SVM
Neurocomputing
A minutia-based partial fingerprint recognition system
Pattern Recognition
Fingerprint quality indices for predicting authentication performance
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Combination of Experts by Classifiers in Similarity Score Spaces
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
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We present a new method for minutiae-based fingerprint verification that approaches the problem as a two-class pattern recognition problem. In our knowledge, this is one of the first works that uses as features for fingerprint verification the response of a minutiae matcher between two fingerprint. The feature vector obtained by the minutiae matching is classified into ''genuine'' or ''impostor'' by support vector machines. Results from FVC2002 are presented, yielding remarkable performance improvement with respect to other state-of-the-art approaches.