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Scope and Motivation:

Biometrics is becoming an important ally to homeland security and law enforcement. Continual improvements in accuracy, transaction speed and affordability have increased their ease of use and cost-effectiveness. However, most existing systems can only perform well with high quality samples of the biometric trait from cooperative users. Low quality samples can greatly affect the recognition accuracy. Samples of a biometric trait are captured from a live person, which cannot be precisely replicated, so that biometric matching always results in uncertainties. In addition to complex operational environments that change over time, biometric systems are typically designed a priori using limited and unbalanced data and knowledge of underlying data distributions. Biometric models are often poor representatives of the biometric trait to be recognized, and should be adapted over time in response to new or changing input features, data samples, priors, and environments.

Computational intelligence (CI), primarily based on neural networks (NN), fuzzy systems (FS), evolutionary computation (EC), etc., is a suitable approach for solving challenging real-world biometric applications. The objective of this special session is to bring researchers from academia and industry together to exchange the latest theoretical and experimental results in the field. This event will provide an interdisciplinary forum for researchers, developers and practitioner especially in the CI field to present state of the art biometric research and technology, as well as the potential problems in real applications. Suggested topic areas include, but are certainly not limited to the following areas:

Biometric-based identity management methods and applications
Multiple biometrics, multi-modal biometrics, and multi-classifier systems
Security and privacy issues, biometric cryptography and template protection
Spoofing, attacks, and countermeasures on biometric systems
Mobile biometric devices and embedded biometric systems
Biometric standards and interoperability
Soft biometrics and new biometric modalities
Adaptive biometric systems for static and dynamically-changing environments
Intelligent and evolutionary biometric systems
On-line, Incremental and life-long learning
Feature extraction and selection
Methodologies for evaluation of biometric systems and technologies

Program Committee Members:

Mounir Boukadoum, Université du Québec Montréal, Canada,

Hervé Chabanne, Morpho and Télécom ParisTech, France,

Bernadette Dorizzi, TELECOM & Management SudParis, France,

Gerry Vernon Dozier, North Carolina A&T State University, USA,

Yingzi (Eliza) Du, Indiana University-Purdue University Indianapolis, USA,

Jianjiang Feng, Tsinghua University, China,

Giorgio Fumera, University of Cagliari, Italy,

Dmitry O. Gorodnichy, Canada Border Services Agency, Canada,

Eric Granger, École de technologie supérieure, Montreal, Canada,

Laurent Heutte, Université de Rouen, France,

James Benjamin Hutchinson, Six3 Systems, USA,

Robert Ives, U.S. Naval Academy, USA,

Kevin Jia, IGT, USA,

Adams Wai-Kin Kong, Nanyang University, Singapore,

Wenxin Li, Peking University, China,

Gian Luca Marcialis, University of Cagliari, Italy,

Stan Matwin, University of Ottawa, Canada,

Luiz S. Oliveira, Federal University of Paraná in Curitiba, Brazil,

Hugo Proença, University of Beira Interior, Portugal,

Fabio Roli, University of Cagliari, Italy,

Ajita Rattani, University of Cagliari, Italy,

Robert Sabourin, Ecole de Technologie Superieure, Canada,

Seref Sagıroglu, Gazi University, Ankara, Turkey,

Mario Savastano, National Research Council of Italy, Italy,

Fabio Scotti, University of Milan, Italy,

Jie Tian, Chinese Academy of Sciences, China,

Nicole Vincent, Université René Descartes, France,

Lidong Wang, Mississippi Valley State University, USA,

Qinghan Xiao, Defence R&D Canada, Canada,

Yong Xu, Harbin Institute of Technology, China,

Pingkun Yan, Philips Research North America, USA,

Svetlana N. Yanushkevich, University of Calgary, Alberta, Canada,

Wei-Yun Yau, Institute for Infocomm Research, Singapore,

David Zhang, The Hong Kong Polytechnic University, China,

Lei Zhang, The Hong Kong Polytechnic University, China,

Qijun Zhao, Michigan State University, USA,

Huiyu Zhou, Queen's University, Belfast, UK