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A Multimodal Approach for Biometric Authentication with Multiple Classifiers
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BibTeX
@MISC{Soviany_amultimodal,
author = {Sorin Soviany and Cristina Soviany and Mariana Jurian},
title = {A Multimodal Approach for Biometric Authentication with Multiple Classifiers},
year = {}
}
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Abstract
Abstract—The paper presents a multimodal approach for biometric authentication, based on multiple classifiers. The proposed solution uses a post-classification biometric fusion method in which the biometric data classifiers outputs are combined in order to improve the overall biometric system performance by decreasing the classification error rates. The paper shows also the biometric recognition task improvement by means of a carefully feature selection, as much as not all of the feature vectors components support the accuracy improvement. T Keywords—biometric fusion, multiple classifiers I.
Keyphrases
multiple classifier biometric authentication multimodal approach biometric data classifier output classification error rate feature vector component post-classification biometric fusion method accuracy improvement carefully feature selection biometric recognition task improvement overall biometric system performance keywords biometric fusion
