Face Recognition Report Released
In
a National Institute of Standards and Technology report released earlier
this year, researchers suggested that face recognition technology has improved
drastically since Sept. 11, 2001. According to Kevin
W. Bowyer, the Schubmehl-Prein
Chair of the Department of Computer Science and Engineering, and Patrick
J. Flynn, professor of computer science and engineering, participants in
the studies upon which the report was based, false recognition rates in such
systems have dropped by 90 percent. Accuracy rates are also now near 99 percent,
with the performance of iris recognition systems similar to that of face
recognition systems.
Bowyer and Flynn have been researching the feasibility
of image-based biometrics and multi-biometrics for several years. With the
assistance of students in the department, they have amassed one of the largest
databases of faces in the world.
Other organizations participating in the
study included the School of Behavioral and Brain Sciences in Richardson,
Texas; Schaefer Corporation in Arlington, Va.; and Science Applications International
Corporation, headquartered in San Diego, Calif. |