Multimodal Fuzzy Fusion for Biometric Identity Management

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    1 Citation (Scopus)

    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
    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)
    Pages1111-1114
    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
    http://worldses.org/reports/2007/australia/

    Conference

    ConferenceInternational Conference on Computer Engineering and Applications, CEA 2007
    Abbreviated titleCEA 2007
    CountryAustralia
    CityGold Coast
    Period17/01/0719/01/07
    Internet address

    Fingerprint

    Biometrics
    Fusion reactions
    Electric fuses
    Membership functions
    Weathering
    Acoustic noise
    Fuzzy logic

    Cite this

    Chetty, G., Tran, D., & Sharma, D. (2007). Multimodal Fuzzy Fusion for Biometric Identity Management. In D. Sharma, L. C. Jain, D. Tran, & W. Ma (Eds.), CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications (pp. 1111-1114). Wisconsin, USA: World Scientific and Engineering Academy and Society Press (WSEAS).
    Chetty, Girija ; Tran, Dat ; Sharma, Dharmendra. / Multimodal Fuzzy Fusion for Biometric Identity Management. CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications. editor / Dharmendra Sharma ; L.C Jain ; Dat Tran ; Wanli Ma. Wisconsin, USA : World Scientific and Engineering Academy and Society Press (WSEAS), 2007. pp. 1111-1114
    @inproceedings{968a69316c5041e3b9b6e52fab6ec05b,
    title = "Multimodal Fuzzy Fusion for Biometric Identity Management",
    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",
    author = "Girija Chetty and Dat Tran and Dharmendra Sharma",
    year = "2007",
    language = "English",
    pages = "1111--1114",
    editor = "Dharmendra Sharma and L.C Jain and Dat Tran and Wanli Ma",
    booktitle = "CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications",
    publisher = "World Scientific and Engineering Academy and Society Press (WSEAS)",

    }

    Chetty, G, Tran, D & Sharma, D 2007, Multimodal Fuzzy Fusion for Biometric Identity Management. in D Sharma, LC Jain, D Tran & W Ma (eds), CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications. World Scientific and Engineering Academy and Society Press (WSEAS), Wisconsin, USA, pp. 1111-1114, International Conference on Computer Engineering and Applications, CEA 2007, Gold Coast, Australia, 17/01/07.

    Multimodal Fuzzy Fusion for Biometric Identity Management. / Chetty, Girija; Tran, Dat; Sharma, Dharmendra.

    CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications. ed. / Dharmendra Sharma; L.C Jain; Dat Tran; Wanli Ma. Wisconsin, USA : World Scientific and Engineering Academy and Society Press (WSEAS), 2007. p. 1111-1114.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    AU - Tran, Dat

    AU - Sharma, Dharmendra

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    N2 - 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

    AB - 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

    UR - http://worldses.org/reports/2007/australia/

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    Chetty G, Tran D, Sharma D. Multimodal Fuzzy Fusion for Biometric Identity Management. In Sharma D, Jain LC, Tran D, Ma W, editors, CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications. Wisconsin, USA: World Scientific and Engineering Academy and Society Press (WSEAS). 2007. p. 1111-1114