Secure mobile services by face and speech based personal authentication

Linlin Shen, Nengheng Zheng, Songhao Zheng, Wei Li

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010
Pages97-100
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010 - Xiamen, China
Duration: 29 Oct 201031 Oct 2010

Publication series

NameProceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010
Volume3

Conference

Conference2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010
Country/TerritoryChina
CityXiamen
Period29/10/1031/10/10

Keywords

  • Face recognition
  • Fusion
  • Speech recognition

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

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