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    ARTICLE

    Secure Cancelable Template Based on Double Random Phase Encoding and Entropy Segmentation

    Ahmed M. Ayoup1,*, Ashraf A. M. Khalaf1, Fathi E. Abd El-Samie2, Fahad Alraddady3, Salwa M. Serag Eldin3

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4067-4085, 2022, DOI:10.32604/cmc.2022.025767

    Abstract In this paper, a proposed cancellable biometric scheme is based on multiple biometric image identifiers, Arnold’s cat map and double random phase encoding (DRPE) to obtain cancellable biometric templates. The proposed segmentation scheme that is used to select the region of interest for generating cancelable templates is based on chaos entropy low correlation statistical metrics. The objective of segmentation is to reduce the computational cost and reliability of template creation. The left and right biometric (iris, fingerprint, palm print and face) are divided into non-overlapping blocks of the same dimensions. To define the region of interest (ROI), we select the… More >

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