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...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2016.
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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.