Signal Processing Techniques for Biometrics Authentication

Aims and Scope:
Biometrics technology assigns individuals identities according to physiological traits (fingerprint, face, palmprint and iris pattern), or behavioral traits (gait, signature, handwriting and keystroke dynamics). Each biometrics trait has its own acquisition method and output data including different types of images and voices. Due to the huge demands on biometrics systems deployments, several challenges are keep arising with respect to data acquisition, pre-processing, feature extraction and matching. These challenges need to be addressed in order to enhance the performance of any biometric system in terms of time and accuracy. This special session emphasizes the usage of advanced signal processing techniques for addressing some biometrics related problems. Signal processing techniques such as spatial and frequency domains filtering, Scale-Invariant Feature Transform and Wavelets are contributing very well to solve some biometrics problems, and hence the advanced signal processing techniques are expected to achieve better results when tackling biometrics related problems. The aim of this session is to attract researchers and practitioners from academia and industry, and provide a discussion environment in order to share their experiences of using advanced signal processing techniques for addressing the challenges in biometrics research area. Topics of interest include but are not limited to:

** Advanced signal processing techniques:
- Real-time signal processing designed for embedded systems
- Transforms and data representation techniques
- Data clustering and reduction techniques
- Encryption and cryptography
- Machine learning techniques
- Filtering techniques
** Applications with biometric data:
- Individual identification and privacy protection
- Multi-modal biometrics and data fusion
- Feature extraction and noise removal
- Deformation modeling and analysis
- Data hidden and watermarking
- Modeling of aging effects

Paper Submission:
The session seeks for original, unpublished, and high-quality research papers. The authors are invited to submit their contributions formatted as IEEE double columns. Submitted papers will be refereed by at least two reviewers for quality, correctness, originality, and relevance. All accepted papers will be published in the conference proceeding and will be indexed by IEEE Xplore digital library. The authors are kindly asked to follow the (ICSIPR'13) submission system with an email notication to the session organizer (aawad@ieee.org) including the paper ID and the paper title.

Important Dates:
ˆ - Deadline for paper submission: December 01, 2012
ˆ - notification of acceptance/rejection: December 17, 2012
ˆ - Deadline for camera-ready submission: January 02, 2013
ˆ - Conference registration: January 02, 2013
ˆ - Conference date: February 07-08, 2013

Session Organizers:
Dr.: Ali Ismail Awad
Al Azhar University, Egypt, Member of SRGE Research Group, (aawad@ieee.org)

Dr.: Neveen Ghali
Al Azhar University, Egypt, Member of SRGE Research Group, (neveen.ghali@egyptscience.net)

Professor: Aboul Ella Hassanien
Cairo University, Egypt, Chairman of SRGE Research Group, (aboitcairo@gmail.com)