26-03-2012, 04:56 PM
Video-based Automatic System
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Video-based Automatic System for Iris Recognition (VASIR) is a NIST implemented iris recognition algorithm designed to work on both conventional iris images and iris images collected at a distance.
VASIR is fully automated system of the video-based iris recognition for less-constrained videos. All videos were captured while a person walked through a portal at a distance. The system was developed to address the challenge of recognizing a person in less-than-optimal environments, coping with high and low still-image and video-sequence quality.
VASIR also accommodates multiple scenarios:
• distant-video to distant-video (VvsV) ,
• distant-video to classical-still (VvsS), and
• classical-still to classical-still (SvsS) iris recognition.
In VvsV matching, the extracted iris region of distant-video-sequences is matched to other sequences from the same video sequence or from a different video sequence of the same person. VvsS means that the video-sequence captured at a distance is compared to classical-still-images, captured by a different camera. In SvsS matching, a classical-still-image is matched against other classical-still-images of the same person that were captured by the same device.