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Search Publications by: Yooyoung Lee (Fed)

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Displaying 26 - 38 of 38

Identifying Face Quality and Factor Measures for Video

May 20, 2014
Author(s)
Yooyoung Lee, P. Jonathon Phillips, James Filliben, J. R. Beveridge, Hao Zhang
This paper identifies important factors for face recognition algorithm performance in video. The goal of this study is to understand key factors that affect algorithm performance and to characterize the algorithm performance. We evaluate four factor

VASIR: An Open-Source Research Platform for Advanced Iris Recognition Technologies

April 22, 2013
Author(s)
Yooyoung Lee, Ross J. Micheals, James J. Filliben, P J. Phillips
The performance of iris recognition systems is frequently affected by input image quality, which in turn is vulnerable to less-than-optimal conditions due to illuminations, environments, and subject characteristics (e.g., distance, movement, face/body

Ocular and Iris Recognition Baseline Algorithm

November 7, 2011
Author(s)
Yooyoung Lee, Ross J. Micheals, James J. Filliben, P J. Phillips, Hassan A. Sahibzada
Due to its distinctiveness, the human eye is a popular biometricv feature used to identity a person with high accuracy. The Grand Challenge in biometrics is to have an effective algorithm for subject verification or identification under a broad range of

Robust Iris Recognition Baseline for the Grand Challenge

May 17, 2011
Author(s)
Yooyoung Lee, Ross J. Micheals, James J. Filliben, P J. Phillips
Due to its distinctiveness, the human iris is a popular biometric feature used to identity a person with high accuracy. The “Grand Challenge” in iris recognition is to have an effective algorithm for subject verification or identification under a broad

Robust Iris Recognition Baseline for the Occular Challenge

January 20, 2011
Author(s)
Yooyoung Lee, Ross J. Micheals, James J. Filliben, P J. Phillips
Due to its distinctiveness, the human iris is a popular biometric feature used to identity a person with high accuracy. The Grand Challenge in iris recognition is to have an effective algorithm for subject verification or identification under a broad range

Improvements in Video-Based Automated System for Iris Recognition (VASIR)

December 7, 2009
Author(s)
Yooyoung Lee, Ross J. Micheals, P J. Phillips
Video-based Automated System for Iris Recognition (VASIR) performs two-eye detection, best quality image selection by adapting human vision and edge density methods, and iris verification. A new method of iris segmentation is implemented and evaluated that

An Automated Video-Based System For Iris Recognition

June 2, 2009
Author(s)
Yooyoung Lee, P. Jonathon Phillips, Ross J. Micheals
We have successfully implemented a Video-based Automated System for Iris Recognition (VASIR), evaluating its successful performance on the MBGC dataset. The proposed method facilitates the ultimate goal of automatically detecting an eye area, extracting

Conformance Test Suite for CBEFF Biometric Information Records

September 29, 2007
Author(s)
Yooyoung Lee, Fernando L. Podio, Mark Jerde
Deployment of standards-based biometric technologies is expected to significantly raise levels of security for critical infrastructures that has not been possible to date with other technologies. These systems require a comprehensive set of technically