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        Shape and Texture Combined Face Recognition for Detection of Forged ID Documents

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        meng_et_al.pdf (PDF, 704Kb)
        Author
        Sáez-Trigueros, Daniel
        Hertlein, Heinz
        Meng, Li
        Hartnett, Margaret
        Attention
        2299/21176
        Abstract
        This paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) doc-ument against the face image stored in the biometric chip of such a document. The purpose of this specific face recognition algorithm is to aid the automatic detection of forged ID documents where the photography printed on the document’s surface has been altered or replaced. The proposed algorithm uses a novel combination of texture and shape features together with sub-space representation techniques. In addition, the robustness of the proposed algorithm when dealing with more general face recognition tasks has been proven with the Good, the Bad & the Ugly (GBU) dataset, one of the most challenging datasets containing frontal faces. The proposed algorithm has been complement-ed with a novel method that adopts two operating points to enhance the reliability of the algorithm’s final verification decision.
        Publication date
        2016-07-28
        Published in
        the 39th Intl. ICT (Information and Communication Technology) Convention MIPRO 2016
        Published version
        https://doi.org/10.1109/MIPRO.2016.7522348
        Other links
        http://hdl.handle.net/2299/21176
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