2009 IEEE

In recent years, biometrics has gained increasing attention and been rapidly developed for various commercial, government and law enforcement applications ranging from physiological and logical access control, against identity fraud, to terrorist attack prevention. Various biometric technologies are available for identifying or verifying an individual's identity by measuring his/her fingerprint, hand, face, signature, voice, or a combination of these traits. However, recognition based on traditional methods may not be sufficiently robust because of the possibility of background noise, signal distortion, and template ageing. A special feature that a biometric trait cannot be captured in precisely the same way twice makes biometric matching be never exact, but always a “fuzzy comparison”. Therefore, computational intelligence (CI), primarily based on artificial intelligence, neural networks, fuzzy logic, evolutionary computing, etc., turns out to be an ideal approach.

The main objective of this workshop is to bring researchers from academia and industry together to exchange the latest theoretical and experimental advances and to explore future directions of CI in biometrics. This event will provide an interdisciplinary forum for researchers, developers and practitioner to present the state-of-art of computational intelligence in biometrics. The submission needs to deal with computational intelligence in biometrics. Possible topic areas include, but are certainly not limited to:

Biometric algorithms, techniques and systems
Biometric solutions for physical and logical security
Testing, measurement and evaluation of biometric products
Biometric smart ID and RFID ePassports
Multiple biometrics and multi-modal biometrics
Human factors and privacy issues
Biometric spoofing and liveness detection
Mobile biometric devices and embedded biometric systems
Biometric standards, conformance and interoperability

Program Committee:

Ke Chen, University of Manchester, UK

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

Jianjiang Feng, Michigan State University, USA

Dmitry Gorodnichy, Canada Border Services Agency, Canada

Adams Wai-Kin Kong, Nanyang Technological University, Singapore

Wenxin Li, Peking University, China

Evangelia Micheli-Tzanakou, Rutgers University, USA

Kostas Plataniotis, University of Toronto, Canada

Seref Sagiroglu, Gazi University, Turkey

Jie Tian, Chinese Academy of Sciences, China

Jeffrey Voas, Science Applications International Corporation, USA

Jia-Ching Wang, National Cheng Kung University, Taiwan

Lan Wang, Chinese Academy of Sciences, China

Yong Xu, Harbin Institute of Technology, China

Jingqi Yan, Shanghai Jiao Tong University, China

Xin Yang, Chinese Academy of Sciences, China

Special Session on Computational Intelligence in Iris Recognition

Iris recognition has been tested to be the most accurate biometrics by far. However, the accuracy and performance of current iris recognition systems can decrease dramatically when working with poor quality images or in non-idea situations. Computational intelligence technology, has been successfully used in image processing, pattern recognition and machine learning, is an ideal approach to deal with iris recognition challenges. The purpose of this session is to provide a scientific forum for researchers, engineers, system architects and designers to discuss and report recent advances in the area of computational intelligence for iris recognition, iris image analysis, and related technologies.

The special session will consider the use of computational intelligence in the following areas, but not limited to:

iris recognition methods in non-idea situations
non-cooperative iris recognition methods/systems
remote iris recognition methods/systems
iris surveillance systems/methods
iris image quality measures
iris image compression
iris image encryption