CSE/MNIT GIAN Course: Biometric-based Authentication and De-identification for Privacy Protection, 19 - 25 Dec 2016
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Biometrics is an emerging technology that utilizes distinct physiological or/and behavioural characteristics possessed by a person in order to determine or verify the identity of an individual. The main physical characteristics used in biometric identification or verification systems are fingerprint hand geometry, palm print, face, iris, retina and ear. The behaviouralcharacteristics are signature, lip movement, speech, keystroke dynamics, gesture and gait. Biometric systems that use a single trait are called unimodal systems, whereas those that integrate two or more traits are referred to as multimodal biometric systems. Although unimodal systems are usually more cost-efficient than multimodal systems, in order to provide acceptable performance, to increase the scalability and the reliability of decisions and to increase the system’s robustness to fraudulent technologies the multimodal biometric-based system are used.
A biometric system is a pattern recognition system, so it involves pattern recognition as the main discipline, as well as image processing, computer vision, signal processing, speech recognition and machine learning as relevant fields to developing biometric-based authentication systems. No biometric system can be error-free and this is a reason why the fundamental measurable aspects which affect system accuracy should be analysed.
The course is residential, spanning 7 days, and consists of lectures and hands-on experiences relating to diverse topics on Biometrics authentication and privacy protection. It is intended that the course will complement and extend the materials in existing technical courses that many students will encounter in their first year of postgraduate training. It will also provide an opportunity to broaden awareness of knowledge and techniques in Biometrics, Security, Pattern Recognition, Vision, and Image Computing, and to develop appropriate research skills. (View: Programme).
The course is open to the teachers and research students from Computer, Electrical and Electronics Engineering Departments of Govt/ Govt. aided/ self-financed Engineering colleges, Engineers from Industries, Public sector undertakings and utilities. This intensive workshop is aimed at research in Machine vision, Pattern Recognition and Digital Image Computing, including topics such as Image Processing and Computer Vision. It is intended that the course will complement and extend the material in existing technical courses that many students will encounter in their first year of postgraduate training. It will provide an opportunity to broaden awareness of knowledge and techniques in Biometrics, Security, Pattern Recognition, Vision, and Image Computing, and to develop appropriate research skills.
It is organised under the auspices of Malaviya National Institute of Technology Jaipur, hosted by the Department of Computer Science and Engineering, Sponsored by GIAN, MHRD.