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    Multibiometric human recognition using 3D ear and face features

    Access Status
    Fulltext not available
    Authors
    Islam, Shams
    Davies, R.
    Bennamoun, M.
    Owens, R.
    Mian, A.
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Islam, S.M.S. and Davies, R. and Bennamoun, M. and Owens, R.A. and Mian, A.S. 2013. Multibiometric human recognition using 3D ear and face features. Pattern Recognition. 46 (3): pp. 613-627.
    Source Title
    Pattern Recognition
    DOI
    10.1016/j.patcog.2012.09.016
    ISSN
    00313203
    URI
    http://hdl.handle.net/20.500.11937/23034
    Collection
    • Curtin Research Publications
    Abstract

    We present automatic extraction of local 3D features (L3DF) from ear and face biometrics and their combination at the feature and score levels for robust identification. To the best of our knowledge, this paper is the first to present feature level fusion of 3D features extracted from ear and frontal face data. Scores from L3DF based matching are also fused with iterative closest point algorithm based matching using a weighted sum rule. We achieve identification and verification (at 0.001 FAR) rates of 99.0% and 99.4%, respectively, with neutral and 96.8% and 97.1% with non-neutral facial expressions on the largest public databases of 3D ear and face.

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