BRACV 2013 - Special Issue on: "Biometric Recognition: An Application to Computer Vision"

Special Issue on: "Biometric Recognition: An Application to Computer Vision"
Guest Editors:
Sambit Bakshi, National Institute of Technology Rourkela, India
Rajib Sarkar, Central Institute of Technology Raipur, India
Biometrics has the capability to identify or verify each and every individual correctly by using physiological (face, fingerprint, iris, periocular region, palmprint, knuckle, ear, retina, footprint, gait, DNA, dental biometrics etc.) or behavioural characteristics (signature, voice, etc.) possessed by the user. This does not require any other means of possession-based and knowledge-based identification substance or token that may cause the security susceptible to attack when an unauthorized person needs to gain access to a restricted area or security zone by altering user information provided in token. These substances or tokens, such as various security tags or identification cards, may be stolen or forgotten and as a result malicious users take advantage of it through unauthorized entry to the highly security areas.
As opposed to these systems, cutting-edge biometrics-based identification systems offer higher security to gain competitive advantages over conventional identification systems. The need for biometrics systems is increasing in day-to-day activities and due to that, novel methods are evolving rapidly and boosting the biometric research in new directions. The special issue will serve as a platform to cover the advanced topics and approaches of biometric systems and technologies.
Subject Coverage
Face, fingerprint, iris, periocular region, lip, palm, signature, hand geometry, knuckle, ear, gait, retina, DNA, footprint, voice, heartbeat, dental biometric etc.
Feature extraction, pattern classification, matching techniques for biometrics algorithms
Biometrics systems for border control security
Biometrics systems for verification and identification
Database indexing techniques for biometrics systems
Protocols, cryptography, biometric standards for biometrics systems
Security and reliability assessment for biometrics systems
Online and offline biometric systems
Performance assessment and resource computation in biometrics systems
Multi-classifiers fusion and score weighting schemes in biometrics
Machine vision and soft computing techniques in biometrics fusion
Match score level, feature level, rank level, sensor level fusions for biometrics systems
Feature quality improvements, feature update, feature matching in biometrics
Adaptive biometric systems; Biometrics template security
Biometrics in affective computing
Emotion recognition
Action units recognition in biometric systems
Extended features in biometrics
Recognition at distance
Biometrics alteration
Heterogeneous biometrics systems
Avatar recognition
Age invariant biometrics recognition
Matching sketch to photos
Multibiometrics
Soft biometrics
Cancellable biometrics
Biometric database management
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper was not originally copyrighted and if it has been completely re-written).
All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page.
Important Dates
Original paper submission: 20 May 2013
Notification of first revision/ Acceptance: 30 June 2013
Submission of revised version by the authors: 20 July 2013
Final Notification of Acceptance/Rejection: 05 August 2013
Proofreading copy submission and typesetting: 25 September 2013