Discriminative Learning In Biometrics by David ZhangDiscriminative Learning In Biometrics by David Zhang

Discriminative Learning In Biometrics

byDavid Zhang, Yong Xu, Wangmeng Zuo

Hardcover | November 4, 2016

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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.
 
David Zhang is currently a professor at the Department of Computing, the Hong Kong Polytechnic University where he is the Founding Director of Biometrics Research Centre (UGC/CRC) supported by the Hong Kong SAR Government. He is the book editor of Springer's International Series on Biometrics (KISB); organizer of the first Internationa...
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Title:Discriminative Learning In BiometricsFormat:HardcoverDimensions:266 pages, 23.5 × 15.5 × 0.25 inPublished:November 4, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9811020558

ISBN - 13:9789811020551

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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.