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.
Über den Autor David Zhang
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David Zhang graduated in Computer Science from Peking University. He received his MSc in 1982 and his PhD in 1985 in Computer Science from the Harbin Institute of Technology (HIT). From 1986 to 1988 he was a postdoctoral fellow at Tsinghua University and then an associate professor at the Academia Sinica, Beijing. In 1994 he received his second PhD in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. Currently, he is a Chair Professor at the Hong Kong Polytechnic University, where he is the Founding Director of Biometrics Research Centre (UGC/CRC), which has been supported by the Hong Kong SAR Government since 1998. He also serves as Visiting Chair Professor at Tsinghua University and HIT, and Adjunct Professor at Shanghai Jiao Tong University, Peking University, the National University of Defense Technology and the University of Waterloo. So far, he has been published more than 10 books and 400 international journal papers. He was listedas a highly cited researcher in Engineering by Thomson Reuters in 2014 and in 2015, respectively. Professor Zhang is a Croucher senior research fellow, distinguished speaker of the IEEE computer society, and a Fellow of both the IEEE and the IAPR.Hongzhi Zhang received his Ph.D. degree in computer science and technology from Harbin institute of Technology (HIT), China, in 2007. He is an associate Professor at the School of Computer Science and Technology, HIT, where he has taught for over 15 years. He teaches biomedical image processing and has investigated computerized tongue diagnosis at the Research Center of Perception and Computing. He is a member of the IEEE, the Chinese Association for Artificial Intelligence (CAAI), and the China Society of Integrated Traditional Chinese and Western Medicine. His research interests include theoretic approaches to problems in biomedical imaging, biometric image analysis, computer vision, and signal processing. His research has been supported by grants from the National Natural Science Foundation of China. He is the author of more than 70 international journal and conference papers. Bob Zhang received his Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, Canada, in 2011. After graduating from Waterloo, he remained with the Center for Pattern Recognition and Machine Intelligence, and was later a postdoctoral researcher at the Department of Electrical and Computer Engineering at Carnegie Mellon University, Pittsburgh, USA. He is currently an assistant professor in the Department of Computer and Information Science, University of Macau, Taipa, Macau. His research interests focus on medical biometrics, biometrics security, pattern recognition, and image processing. Dr. Zhang is a Technical Committee Member of the IEEE Systems, Man, and Cybernetics Society, an Associate Editor for the International Journal of Image and Graphics, as well as an editorial board member for the International Journal of INFORMATION.
