AVAS: an audio-visual attendance system

Authors:
Dongdong Li;Yingchun Yang;Zhenyu Shan;Gang Pan;Zhaohui Wu
Affiliations:
Department of Computer Science and Technology, Zhejiang University, Hangzhou, P.R.China;Department of Computer Science and Technology, Zhejiang University, Hangzhou, P.R.China;Department of Computer Science and Technology, Zhejiang University, Hangzhou, P.R.China;Department of Computer Science and Technology, Zhejiang University, Hangzhou, P.R.China;Department of Computer Science and Technology, Zhejiang University, Hangzhou, P.R.China
Venue:
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Year:
2006

Citing 5
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Abstract

Biometric identification technology is being applied to physical and information access control in some workplace with the improvements in the accuracy of biometric devices and declining price. This paper describes a multimodal biometric identification system for time and attendance application called AVAS (Audio-Visual Attendance System). This system takes users’ voice and face characteristics as their badge. The motivation behind using multimodal biometrics is to improve availability and accuracy of the system. The score differences between the genuine speaker class and the mistaken identified speaker class labeled by each classifier are taken into account, and Score Difference Weighted Sum rule (SDWS) is introduced to fuse the individual expert. We describe the functions of the AVAS in detail from three aspects, the interaction with users, the authentication implementation and the data management. The practical tests conducted on staff working environment gain distinct improvement about 9.8% with the proposed system.