Title: Dynamic signature verification and the human biometric sensor interaction model Authors: Michael Brockly, Richard Guest, Stephen Elliott, James Scott Publication date: 2011/10/18 Conference name: Security Technology (ICCST), 2011 IEEE International Carnahan Conference on Pages: 1-6 Publisher: IEEE Description: Abstract-This paper examines the application of the HBSI model to a range of dynamic signature verification…

Title: Zero Effort Forgery Authors: Stephen J. Elliott Journal: Encyclopedia of Biometrics Publication date:2009 Description: An impostor attempt is classed as ”zero-effort”if the individual submits his/her own biometric feature as if he/she were attempting successful verification against his/her own template, but the comparison is made against the template of another user. In the case of…

Dynamic signature verification is a subset of that larger science that includes fingerprint recognition, hand geometry, and voice recognition. Signature verification is primarily behavioral in nature like voice recognition, but has some very unique traits which make it harder to test and evaluate. These challenges include the fact that a signature is learnt, it contains…

The Perception of Signature Strength is another important aspect in understanding the vulnerability of a signature. For example, a forger has access to a number of signatures, some of which they perceive to be difficult as opposed to an “easy” signature. This research attempts to define the strength of a signature, and then to analyze…

Dynamic Signature Variable Traits in Signature Forgery centers on the fact that the signature may not be verified at that specific moment (unlike the other biometrics), but may be validated at a later date. Furthermore, understanding an impostor distribution is also a challenge in the fact that other biometrics use a zero-effort attempt, “where an…

Title: Dynamic signature forgery and signature strength perception assessment Authors: Stephen Elliott, Adam Hunt Publication date: 2008/6 Journal name: Aerospace and Electronic Systems Magazine, IEEE Volume: 23 Issue: 6 Pages: 13-18 Publisher: IEEE Description: Abstract Dynamic signature verification has many challenges associated with the creation of the impostor dataset. The literature discusses several ways of…

This paper discusses the impact of human interaction with biometric devices and its relationship to biometric performance. The authors propose a model outlining the Human-Biometric Sensor Interaction and discuss its necessity through case studies in fingerprint recognition, hand geometry, and dynamic signature verification to further understand the human-sensor interaction issues and underlying problems that they…

This paper outlines various research projects that have been conducted at Purdue University in the areas of environment, population, and devices. These areas are of interest as biometric technologies are currently being implemented in various business applications. The environmental research is concerned with the performance of a facial recognition algorithm at differing illumination levels. The second study looks at population, which examines differences in image…

Identification, Authentication and Privacy Adam R. Hunt, Stephen J. Elliott, Ph.D. Dynamic signature verification is a subset of that larger science that includes fingerprint recognition, hand geometry, and voice recognition. Signature verification is primarily behavioral in nature like voice recognition, but has some very unique traits which make it harder to test and evaluate. These…

Title: An Assessment of Dynamic Signature Forgery and Perception of Signature Strength Authors: Stephen Elliott, Adam Hunt Publication date: 2006 Conference name: Carnahan Conferences Security Technology, Proceedings 2006 40th Annual IEEE International Pages: 186-190 Publisher: IEEE Description: Abstract- Dynamic signature verification has many challenges associated with the creation of the impostor dataset. The literature discusses…

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