Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
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
Digital Image Processing
Online Fingerprint Template Improvement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Gray-Scale Minutiae Detection In Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
FVC2002: Second Fingerprint Verification Competition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Neural Network Based Minutiae Filtering in Fingerprints
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Biometric template selection: a case study in fingerprints
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Fingerprint fusion based on minutiae and ridge for enrollment
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A fast fingerprint matching algorithm using Parzen density estimation
ICISC'02 Proceedings of the 5th international conference on Information security and cryptology
Minutiae-based template synthesis and matching for fingerprint authentication
Computer Vision and Image Understanding
Rolled fingerprint construction using MRF-based nonrigid image registration
IEEE Transactions on Image Processing
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This paper proposes an algorithm for generating a super-template from multiple fingerprint impressions in fingerprint enrollment for the purpose of increasing recognition accuracy. The super-template is considered as a single fingerprint template which contains highly likely true minutiae based on multiple fingerprint images. The proposed algorithm creates the super-template, in which the credibility of each minutia is updated by applying a successive Bayesian estimation (SBE) to a sequence of templates obtained from input fingerprint images. Consequently, the SBE assigns a higher credibility to frequently detected minutiae and a lower credibility to minutiae that are rarely found from the input templates. Likewise, the SBE is able to estimate the credibility of the minutia type (ridge ending or bifurcation). Preliminary experiments demonstrate that, as the number of fingerprint images increases, the proposed algorithm can improve the recognition performance, while keeping the processing time and memory storage required for the super-template almost constant.