Title: Comparison of face image quality metrics: Electronic and legacy mug shots Authors: Kevin O’Connor, Gregory Hales, Jonathon Hight, Shimon Modi, Stephen Elliott Publication date: 2011/4/11 Conference name: Computational Intelligence in Biometrics and Identity Management (CIBIM), 2011 IEEE Workshop on Pages: 123-126 Publisher: IEEE Description: Abstract-Automated face recognition offers an effective method for identifying individuals….

G. Hales, Graduate Researcher & S. J. Elliott Ph.D. In recent times it has become apparent that data sharing capabilities across state departments and law enforcement agencies is an issue, especially in terms of tracking, monitoring, and identifying persons of interest. There is a need to assess the image capture process, as well as sharing…

The study examined the perception of individuals to their photograph, and whether their highest ranked self selected photograph had the highest image quality as determined by two face image quality algorithms. The research question was to determine if people, when given a choice, will select the best quality photograph to submit to the passport or…

Testing and evaluation standards for the performance of face recognition algorithms do not sufficiently address the effect of the quality of the sensor or capture device. Standardized testing protocols do not incorporate sensor quality as one of the factors to be analyzed when benchmarking face recognition algorithms. The impact of camera sensor quality on FRS…

In recent times it has become apparent that data sharing capabilities across state departments and law enforcement agencies is an issue, especially in terms of tracking, monitoring, and identifying persons of interest. There is a need to assess the image capture process, as well as sharing capabilities, and to incorporate commercially available facial recognition technology…

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…

Title: Effects of illumination changes on the performance of Geometrix FaceVision® 3D FRS Authors: Eric P Kukula, Stephen J Elliott, Roman Waupotitsch, Bastien Pesenti Publication date: 2004/10/11 Conference name: Security technology, 2004. 38th annual 2004 international Carnahan conference on Pages: 331-337 Publisher: IEEE Description Abstract This evaluation examined the effects of four frontal light intensities…

Title: Evaluation of a facial recognition algorithm across three illumination conditions Authors: Eric P Kukula, Stephen J Elliott Publication date: 2004/9 Journal name: Aerospace and Electronic Systems Magazine, IEEE Volume: 19 Issue: 9 Pages: 19-23 Publisher: IEEE Description: Abstract This work evaluated the performance of a commercially available face recognition algorithm for the verification of…

This study evaluated the performance of a commercially available face recognition algorithm for the verification of an individual’s identity pertaining to three enrollment illumination levels. Existing face recognition technology from still or video sources is becoming a practical tool for law enforcement, security, and counter-terrorist applications despite the limitations of the current technology. This evaluation…

This study will evaluate a facial recognition algorithm in operational testing and evaluation at Purdue University Airport. This study will collect face images at the student flight operations center over a period of time to assess template aging, user habituation, as well as algorithm performance over time. The study will be operational and unattended.

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