DocumentCode :
182825
Title :
Multimodal Biometrics Using Cancelable Feature Fusion
Author :
Paul, Padma Polash ; Gavrilova, Marina
Author_Institution :
Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
fYear :
2014
fDate :
6-8 Oct. 2014
Firstpage :
279
Lastpage :
284
Abstract :
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.
Keywords :
biometrics (access control); computer crime; data protection; message authentication; authentication system; cancelability; cancelable feature fusion; feature fusion based multimodal system; hackers; multibiometric template; multimodal biometric system; multimodality; privacy threats; security threats; system memory; template protection; template security; unimodal biometric system; Biometrics (access control); Cryptography; Databases; Ear; Face; Feature extraction; Cancelable Fusion; feature level fusio; multimodal biometric system; random projection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyberworlds (CW), 2014 International Conference on
Conference_Location :
Santander
Print_ISBN :
978-1-4799-4678-5
Type :
conf
DOI :
10.1109/CW.2014.45
Filename :
6980772
Link To Document :
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