Multimodal Biometrics using Cancelable Feature Fusion

被引:4
|
作者
Paul, Padma Polash [1 ]
Gavrilova, Marina [1 ]
机构
[1] Univ Calgary, Dept Comp Sci, Calgary, AB T2N 1N4, Canada
关键词
Cancelable Fusion; multimodal biometric system; random projection; feature level fusio; FEATURE-LEVEL FUSION; FINGERPRINT;
D O I
10.1109/CW.2014.45
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Multimodal Biometric system is very proficient because of the advantageous aspects over unimodal biometric system. Feature fusion based multimodal system is one of the best in its genres because it only stores single template and decries the privacy and security threats as well as the system memory. However, biometric templates from traditional feature fusion for multi-biometric systems are vulnerable in terms of template protection, where it can only improve the performance. On the other hand, proposed cancelable fusion is a new type of feature fusion for multimodal biometric system that can achieve both improved performance for multimodality and cancelability at the same time. In other word, proposed cancelable fusion keeps all the characteristics of multimodal biometric systems and ensures the template security in addition so that hackers cannot use the multi-biometric template to break the authentication system even if the template is compromised.
引用
收藏
页码:279 / 284
页数:6
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