Grants and Contracts Details
Description
Wide-area Rapid Iris Image Capture with Pan-tilt-zoom Cameras
(DHS Interest Area: Biometric identification technologies)
Contact Person: Ruigang Yang, [email protected], University of Kentucky
Abstract
In response to the DHS interest in fast biometric measurement, this project will develop
a system to rapidly capture iris images of moving human subjects at long range.
Working in concert with a currently available commercial iris identification software
package, our system will provide fast, accurate, and automated biometric identification
first for homeland security and also for other fields requiring identification or
authentication.
From a technical standpoint, the goal is to develop a complete software/hardware
package that is expected to advance the state of the art in iris scan technology by (a)
increasing the scan range by five to ten fold (Le., distances greater than 10 feet) and
(b) allowing continuous iris scanning of moving subjects.
We propose the development of computer vision techniques to automatically detect,
track, and extract high-resolution iris images using steerable pan-tilt-zoom (PTZ)
cameras. The use of our solution, shown in the figure below, is meant to be simple and
reliable. Imagine a target area equipped with a mix of inexpensive fixed stereo cameras
and high-resolution PTZ cameras. Our fixed stereo cameras detect motion and have the
ability to track individuals in 3D as they walk into the field of view. This real-time 3D
information is used to steer the PTZcameras to zoom-in and focus on the subject's face.
Servo-controlled active yet invisible illumination will be used to enhance the contrast of
the face image. Iris images are then detected and converted to a canonical format that
can be sent to existing iris identification software, such as the widely adopted package
from Iridian Technologies(http://www.iridiantech.com/) .
Stereo Camera Pan-Tilt-Zoom Camera
Our team has a unique combination of expertise in visual tracking, servo control, optics,
and hardware design and manufacturing. Together with a partnership with a leading
provider in iris identification software, we expect this project to quickly demonstrate a
research prototype with strong potential for commercialization.
Status | Finished |
---|---|
Effective start/end date | 7/1/05 → 2/15/09 |
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