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Secure mobile services by face and speech based personal authentication

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4 Author(s)
Linlin Shen ; Shenzhen Key Laboratory of Embedded System Design, College of Computer Science & Software Engineering, Shenzhen University, China ; Nengheng Zheng ; Songhao Zheng ; Wei Li

With the popularity of mobile devices, people are now able to access mobile services like website surfing, e-banking, e-shopping and voice-mail etc. anywhere anytime. Most of the services require secure biometric based personal authentication. This paper aims to improve the accuracy of personal authentication in mobile environment by integrating multiple modal biometrics, i.e. face and speech. A specially designed Mobile Biometry (MOBIO) database was used to test the performances. While facial biometrics achieved an average EER of 27.3%, speech biometrics achieved an average EER of 33.4%. The multiple modals biometric system reduces the average error rate to 21.0%, which clearly proves the usefulness of fusing face and speech information.

Published in:

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on  (Volume:3 )

Date of Conference:

29-31 Oct. 2010