Multimodal Fuzzy Fusion for Biometric Identity Management

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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
Original languageEnglish
Title of host publicationCEA'07: Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
EditorsDharmendra Sharma, L.C Jain, Dat Tran, Wanli Ma
Place of PublicationWisconsin, USA
PublisherWorld Scientific and Engineering Academy and Society Press (WSEAS)
Number of pages4
ISBN (Electronic)9789608457584
Publication statusPublished - 2007
EventInternational Conference on Computer Engineering and Applications, CEA 2007 - Queensland, Gold Coast, Australia
Duration: 17 Jan 200719 Jan 2007


ConferenceInternational Conference on Computer Engineering and Applications, CEA 2007
Abbreviated titleCEA 2007
CityGold Coast
Internet address


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