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Discriminative Learning in Biometrics Book PDF Summary

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.

Detail Book of Discriminative Learning in Biometrics PDF

Discriminative Learning in Biometrics
  • Author : David Zhang
  • Release : 26 October 2016
  • Publisher : Springer
  • ISBN : 9789811020568
  • Genre : Computers
  • Total Page : 266 pages
  • Language : English
  • PDF File Size : 20,6 Mb

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