SPRI | Discriminative Learning In Biometrics (2016 EN)

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  1. Kanka

    Kanka Well-Known Member Loyal User

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    Author: David Zhang, Yong Xu, Wangmeng Zuo
    Full Title: Discriminative Learning In Biometrics
    Publisher: Springer; 1st ed. 2016 edition (October 27, 2016)
    Year: 2016
    ISBN-13: 9789811020568 (978-981-10-2056-8), 9789811020551 (978-981-10-2055-1)
    ISBN-10: 9811020566, 9811020558
    Pages: 266
    Language: English
    Genre: Computer Science: Image Processing; Biometrics
    File type: PDF (True)
    Quality: 10/10
    Price: 117.69 €


    This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.

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