Overview
- Summarizes the latest studies on discriminative learning methods and their applications to biometric recognition
- Covers different biometric recognition technologies, including face recognition, palmprint authentication, and multi-biometrics
- Provides numerous executive procedures in addition to text presentation of the novel algorithms, technical schemes and insightful strategies
- Written by one of the 2014 ISI Highly Cited Researchers and pioneers of biometrics research
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Background Knowledge
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Front Matter
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Metric Learning and Sparse Representation-Based Classification
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Front Matter
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Discriminative Feature Extraction and Matching for Palmprint Authentication
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Front Matter
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Sparse Representation for Face Recognition
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Front Matter
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Multi-biometrics
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Front Matter
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Discussion
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the authors
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 International Conference on Biometrics Authentication (ICBA); associate editor of more than ten international journals including IEEE Transactions; technical committee chair of the IEEE SMC and the author of more than 10 books and 350 international journal papers. He was listed as a Highly Cited Researcher in Engineering by Thomas Reuters in 2014 and 2015. Professor Zhang is a Croucher senior research fellow, distinguished speaker of the IEEE Computer Society, and a fellow of both the IEEE and IAPR.
Yong Xu currently is a professor at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), China. His interests include pattern recognition, biometrics, machine learning, video analysis and bioinformatics. Dr. Xu has designed a number of algorithms for the above fields and has provided effective solutions for real-world pattern and computer vision problems. He has published more than 100 international journal papers, including more than 10 ISI highly cited papers. His prestigious research group has received several awards. Dr. Xu is an associate editor of the International Journal of Image and Graphics, and a senior member of the IEEE. He has published two monographs in English, including Computer Models for Facial Beauty Analysis by Springer, and Advanced Pattern Recognition Technologies with Applications to Biometrics by Medical Information Science Reference.Wangmeng Zuo currently is a professor at the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. His research interests include discriminative learning, deep learning, image modeling and low-level vision, and biometrics. Dr. Zuo has published more than 50 papers in leading academic journals and at conferences. Dr. Zuo is an associate editor of the IET Biometrics, guest editor of Neurocomputing, Pattern Recognition, and IEEE Transactions on Circuits and Systems for Video Technology. He has co-authored a book on medical biometrics and several book chapters on biometrics.
Bibliographic Information
Book Title: Discriminative Learning in Biometrics
Authors: David Zhang, Yong Xu, Wangmeng Zuo
DOI: https://doi.org/10.1007/978-981-10-2056-8
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media Singapore 2016
Hardcover ISBN: 978-981-10-2055-1Published: 04 November 2016
Softcover ISBN: 978-981-10-9515-3Published: 16 June 2018
eBook ISBN: 978-981-10-2056-8Published: 26 October 2016
Edition Number: 1
Number of Pages: XIII, 266
Number of Illustrations: 37 b/w illustrations, 73 illustrations in colour
Topics: Biometrics, Pattern Recognition