Zhang, David.
Discriminative Learning in Biometrics [electronic resource] / by David Zhang, Yong Xu, Wangmeng Zuo. - XIII, 266 p. 110 illus., 73 illus. in color. online resource.
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.
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. .
9789811020568
10.1007/978-981-10-2056-8 doi
Computer science.
Pattern recognition.
Biometrics (Biology).
Computer Science.
Biometrics.
Pattern Recognition.
QH323.5
570.15195
Discriminative Learning in Biometrics [electronic resource] / by David Zhang, Yong Xu, Wangmeng Zuo. - XIII, 266 p. 110 illus., 73 illus. in color. online resource.
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.
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. .
9789811020568
10.1007/978-981-10-2056-8 doi
Computer science.
Pattern recognition.
Biometrics (Biology).
Computer Science.
Biometrics.
Pattern Recognition.
QH323.5
570.15195