Discriminative Learning in Biometrics

By: David Zhang, Yong Xu, Wangmeng Zuo

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Paperback | 16 June 2018

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Paperback
282 Pages

Dimensions(cm)
23.5 x 15.5 x 1.5

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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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