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Discriminative Learning in Biometrics (Hardback)
  • Discriminative Learning in Biometrics (Hardback)

Discriminative Learning in Biometrics (Hardback)

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Hardback 266 Pages / Published: 04/11/2016
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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.

Publisher: Springer Verlag, Singapore
ISBN: 9789811020551
Number of pages: 266
Weight: 584 g
Dimensions: 235 x 155 x 18 mm
Edition: 1st ed. 2016

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