| Author(s): |
Yooyoung Lee; Ross J. Micheals; James J. Filliben; P J. Phillips; |
| Title: |
Robust Iris Recognition Baseline for the Grand Challenge |
| Published: |
May 17, 2011 |
| Abstract: |
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 of image and environmental conditions. This paper presents both baseline performance results and an enhanced version of VASIR (Video-based Automated System for Iris Recognition) as a response the challenge. We describe the details of the VASIR procedure and demonstrate its superiority over the IrisBEE algorithm. Finally, the image quality scores and how they relate to VASIR’s performance are examined. |
| Citation: |
NIST Interagency/Internal Report (NISTIR) - 7777 |
| Keywords: |
biometrics, iris recognition, VASIR, baseline, benchmark, Hamming distance, image processing |
| Research Areas: |
Biometrics |
| PDF version: |
 Click here to retrieve PDF version of paper (790KB) |
