Secure Mobile Services by Face and Speech Based Personal Authentication

摘要：

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.

关键词： Face recognition speech recognition fusion

作者: Linlin Shen Nengheng Zheng Songhao Zheng Wei Li

作者单位: Shenzhen Key Laboratory of Embedded System Design, College of Computer Science & Software Engineerin College of Information & Engineering Shenzhen University Shenzhen, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 97-100

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）