Multimodal fuzzy fusion for biometric identity management

Authors:
Girija Chetty;Dat Tran;Dharmendra Sharma
Affiliations:
School of Information Sciences and Engineering, University of Canberra, Australia;School of Information Sciences and Engineering, University of Canberra, Australia;School of Information Sciences and Engineering, University of Canberra, Australia
Venue:
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Year:
2007

Citing 1
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Abstract

Biometric identity management based only on the single biometric modality is not accurate or robust enough to be used in uncontrolled environments. This paper describes a fusion of face and voice biometric traits, based on fuzzy logic approach for speaker identity verification. In this approach, a scheme based on membership function and fuzzy integral is proposed to fuse information from the two modalities. Equal Error rate is used to evaluate the fusion scheme. Experimental results show the fusion scheme improves identity verification performance substantially and makes the system robust to environmental degradations such as acoustic noise and visual compression artefacts.