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Auflistung nach Autor:in "Guesmi, Hanene"

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  • Konferenzbeitrag
    Curvelet transform-based features extraction for fingerprint identification
    (BIOSIG 2012, 2012) Guesmi, Hanene; Trichili, Hanene; Alimi, Adel M.; Solaiman, Basel
    The performance of the fingerprint identification process highly depends on its extractor of fingerprint features. So, to reduce the dimensionality of the fingerprint image and improve the identification rate, a fingerprint features extraction method based on Curvelet transform is proposed and presented in this paper. Thus, our paper focuses on presenting of our Curvelet-based fingerprint features extraction method. This method consists of two steps: decompose the fingerprint into set of sub-bands by the Curvelet transform and automatic extraction of the most discriminative statistical features of these sub-bands. An extensive experimental evaluation shows that the proposed method is effective and encouraging.