Secure mobile services by face and speech based personal authentication

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 auth...

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Published in2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Vol. 3; pp. 97 - 100
Main Authors Linlin Shen, Nengheng Zheng, Songhao Zheng, Wei Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Face
Face recognition
fusion
Speech
speech recognition
Online AccessGet full text
ISBN9781424465828
1424465826
DOI10.1109/ICICISYS.2010.5658534

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Abstract 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.
AbstractList 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.
Author Nengheng Zheng
Linlin Shen
Songhao Zheng
Wei Li
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  surname: Wei Li
  fullname: Wei Li
  organization: Shenzhen Key Lab. of Embedded Syst. Design, Shenzhen Univ., Shenzhen, China
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Snippet 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...
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StartPage 97
SubjectTerms Face
Face recognition
fusion
Speech
speech recognition
Title Secure mobile services by face and speech based personal authentication
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Volume 3
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