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Discriminative Learning in Biometrics

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 the...

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Main Authors: Zhang, David. (Author, http://id.loc.gov/vocabulary/relators/aut), Xu, Yong. (http://id.loc.gov/vocabulary/relators/aut), Zuo, Wangmeng. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Subjects:
Biometrics (Biology).
Pattern recognition.
Biometrics.
Pattern Recognition.
Online Access:https://doi.org/10.1007/978-981-10-2056-8
Table of Contents:
  • 1. Discriminative Learning in Biometrics
  • 2. Metric Learning with Biometric Applications
  • 3. Sparse Representation-based Classification for Biometric Recognition
  • 4. Discriminative Features for Palmprint Authentication
  • 5. Orientation Features and Distance Measure of Palmprint Authentication
  • 6. Multifeature Palmprint Authentication
  • 7. Discriminative Learning via Encouraging Virtual Face Images
  • 8. Sparse Representation-based Methods for Face Recognition
  • 9. Fusion Methodologies of Multiple Traits
  • 10. Discussions and Future Work.

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