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Discriminative Learning in Biometrics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Discriminative Learning in Biometrics/ by David Zhang, Yong Xu, Wangmeng Zuo.
Author:	Zhang, David.
other author:	Xu, Yong.
Description:	XIII, 266 p. 110 illus., 73 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biometrics (Biology). -
Online resource:	https://doi.org/10.1007/978-981-10-2056-8
ISBN:	9789811020568

Discriminative Learning in Biometrics
Zhang, David.

Discriminative Learning in Biometrics[electronic resource] /by David Zhang, Yong Xu, Wangmeng Zuo. - 1st ed. 2016. - 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. .

ISBN: 9789811020568

Standard No.: 10.1007/978-981-10-2056-8doiSubjects--Topical Terms:

1249740
Biometrics (Biology).

LC Class. No.: QH323.5

Dewey Class. No.: 570.15195

Discriminative Learning in Biometrics
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520 $a 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. .
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