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

• Published in: Journal of research of the National Institute of Standards and Technology Vol. 118; no. 2; pp. 218 - 259
• Main Authors: Lee, Yooyoung, Micheals, Ross J., Filliben, James J., Phillips, P. Jonathon
• Format: Journal Article
• Language: English
• Published: United States National Institute of Standards and Technology 01.03.2013; Superintendent of Documents; [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
• Subjects: Access control; Algorithms; Automation; Biometric recognition systems; Biometrics; Biometry; Communities; Computer software industry; Design; Factorial experiments; Methods; Modules; Performance evaluation; Platforms; Public software; Sensitivity analysis; Studies; Technological change; Iran; biometrics; image quality; feature extraction; segmentation; open-source; VASIR; iris recognition; benchmark; research platform

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 visibility, blinking, etc.). VASIR (Video-based...