
In
today's environment of increased importance of security and
organization, identification and authentication methods have developed
into a key technology in various areas such as entrance control in
buildings, access control for cash machines, or in the field of
criminal investigation. Biometrics is one way to address these security
issues. In biometrics, unique and discriminatory features are extracted
from physiological and behavioral traits such as face, fingerprint,
iris or voice for verification and identification applications. Among
the various techniques that have been successfully applied for
biometrics, several interesting approaches are based on some
nature-inspired intelligence. Nature inspired intelligent techniques
such as neural networks, evolutionary algorithms, swarm intelligence,
artificial life, or membrane computing,
often offer solutions where more conventional approaches fail.
This
workshop will serve as a platform to showcase these advanced
approaches and results focussing on the use of nature-inspired
algorithms for
biometrics applications..
High quality research papers that use neural networks, evolutionary algorithms, swarm intelligence, artificial life, cellular automata, or other nature-inspired algorithms in the field of biometrics are solicited for this workshop. The topics include but are not limited to:
Advances in sensor technology
Unimodal biometrics: feature extraction and matching in face, fingerprint, iris, voice, hand, ear, signature, gait and other biometric traits
Multimodal biometrics: integration at data (image), feature, score, decision, and rank level, hybrid fusion and other fusion approaches
Biometrics template protection and security: watermarking, cryptography, anti-spoofing, and other novel approaches
Normalization techniques, user specific algorithms, application dependent approaches
Identification approaches using unimodal and multimodal biometrics
Performance evaluation, sample size requirements, modeling and prediction for large scale databases, and usability analysis
Standards, protocols and databases
Biometrics system design, biometrics based smart card and other hardware based approaches
Applications of biometrics
Biometrics for forensics (latent fingerprint matching, facial aging)
Research papers must be prepared in
accordance with the IEEE format and be limited to 6 pages. Further, the
manuscript must be submitted in PDF format. Submissions must include
title, abstract of your paper, and the corresponding author's name and
affiliation. All papers will be rigorously reviewed based on
originality and scientific quality. Research papers must be well
organized, clearly written with sufficient support for assertions and
conclusion. All accepted papers will appear in conference proceedings
published by the IEEE Computer Society and indexed by both EI
(Compendex) and ISTP.
| Richa Singh and
Mayank Vatsa IIIT Delhi New Delhi, India rsingh@iiitd.ac.in, mayank@iiitd.ac.in |
Gerald Schaefer Loughborough University Loughborough, U.K. gerald.schaefer@ieee.org |
Hüseyin Cakmak, Forschungszentrum
Karlsruhe, Germany
M. Emre Celebi, Louisiana State University in Shreveport, USA
Sergio Damas, European Centre for Soft Computing, Spain
Mislav Grgic, University of Zagreb, Croatia
Afzel Noore, West Virginia University
Ajay Kumar, The HongKong Polytechnic University
Farhang Sahba, University of Toronto, Canada
Sanjay K. Singh, Institute of Technology - BHU
Stephen Smith, University of York, U.K.
Vladimir Spitsyn, Tomsk Polytechnic University, Russia
Wojciech Tarnawski, Wroclaw University of Technology, Poland
Huiyu Zhou, Brunel University, U.K.