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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Zhang, David (Συγγραφέας), Xu, Yong (Συγγραφέας), Zuo, Wangmeng (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2016.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.