文章基本信息

标题：ROBUST MULTIMODAL BIOMETRIC AUTHENTICATION INTEGRATING IRIS, FACE AND PALMPRINT
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作者：Fenghua Wang ; Jiuqiang Han
期刊名称：European Integration Studies
印刷版ISSN：2335-8831
出版年度：2015
卷号：37
期号：4
DOI：10.5755/j01.itc.37.4.11987
语种：English
出版社：Kaunas University of Technology
摘要：Fusion of multiple biometric modalities for human authentication performance improvement has received considerable attention. This paper presents a robust multimodal biometric authentication scheme integrating iris, face and palmprint based on score level fusion. In order to overcome the limitation of the possible missing modalites, the multiple parallel support vector machines (SVMs) fusion strategy is applied, in which all possible modality combination cases are considered and each case has a corresponding SVM to combine the scores to generate a fused score for the final decision. Experimental results show that the proposed multimodal scheme is more robust and flexible, especially when some of the biometric modalities are unavailable.