Pattern Recognition, vol. 42, no. 9, pp. 1803-1815, September, 2009. On Estimating Performance Indices for Biometric Identification Jay Bhatnagar, Ajay Kumar Biometrics Research Laboratory Department of Electrical Engineering, Indian Institute of Technology Delhi Hauz Khas, New Delhi 110 016, INDIA Abstract This paper investigates an information theoretic approach for formulating performance in...

Recently, with the increasing demand of high security, person identification has become more and more important in our everyday life. The purpose of establishing the identity is to ensure that only a legitimate user, and not anyone else, accesses the rendered services. The traditional identification methods are based on “something that you possess” and “something that you know” such as key, use...

Writer identification is one of the areas in pattern recognition that attract many researchers to work in, particularly in forensic and biometric application, where the writing style can be used as biometric features for authenticating an identity. The challenging task in writer identification is the extraction of unique features, in which the individualistic of such handwriting styles can be a...

A person’s identity verification became very important in information society. This article presents some results of our research of biometric authentication by keystroke dynamics. The comparison of the stochastic approach and using fuzzy modeling is presented as well. Key-Words: Authentication, identification, biometric, keystroke dynamics, data security, fuzzy.

Biometric technologies focus on the verification and identification of humans using their possessed biological (anatomical, physiological and behavioral) properties. This paper overview current advances in biometric technologies, as well as some aspects of system integration, privacy and security and accompanying problems such as testing and evaluation.

This research is motivated by the need to design a biometric system that uses adaptive techniques relevant to a specific context to identify an individual with little or no interaction with the user. The aim of this research is to develop a framework for a context-aware adaptive multimodal biometric identification system using agent technology.

Biometric identification system, which uses physical or behavioral features to check a person’s identity, ensures much greater security than passwords and number systems. Biometric features such as face or fingerprint can be stored on a microchip in credit card, for example. A single feature, however, sometimes fails to be exact enough to identification. Another disadvantage of using only one f...

Damian Schofield Human Computer Interaction Dept. of Computer Science State University of New York [email protected] Katharina Lorenz Digital Humanities Centre Dept. of Classics University of Nottingham [email protected] Stephanie Davy-Jow Morsani College of Medicine Dept. of Radiology University of South Florida Matthew Anderson Human Computer Interaction Dept. of Compute...

Biometric techniques are gaining importance for personal authentication and identification as compared to the traditional authentication methods. Biometric templates are vulnerable to variety of attacks due to their inherent nature. When a person’s biometric is compromised his identity is lost. In contrast to password, biometric is not revocable. Therefore, providing security to the stored biom...

The identification of people by means of biometric features has been an active research topic before computers started being used for such tasks. The scale of problems than can be addressed by the use of personal computers or computer clusters has grown but there are still real-world scenarios where the biometric features database cannot be processed in real time. This paper tackles the use of ...