A Theoretical and Experimental Analysis of Template Co-update in Biometric Verification Systems
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Challenges and Research Directions for Adaptive Biometric Recognition Systems
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Modelling FRR of Biometric Verification Systems Using the Template Co-update Algorithm
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Template Update Methods in Adaptive Biometric Systems: A Critical Review
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Temporal analysis of biometric template update procedures in uncontrolled environment
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Learning with weak views based on dependence maximization dimensionality reduction
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Analysis of unsupervised template update in biometric recognition systems
Pattern Recognition Letters
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Performances of biometric recognition systems can degrade quickly when the input biometric traits exhibit substantial variations compared to the templates collected during the enrolment stage of users. This issue can be addressed using template update methods. In this paper, a novel template update method based on the concept of biometric co-training is presented. In multimodal biometric systems, this method allows co-updating the template galleries of different biometrics, realizing a co-training process of biometric experts which allows updating templates more quickly and effectively. Reported results provide a first experimental evidence of the effectiveness of the proposed template update method.