| Paper: | MP-P5.4 |
| Session: | Biometrics III: Fingerprints, Iris, Palmprints |
| Time: | Monday, September 17, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
NEW DIRECTIONS IN CONTACT FREE HAND RECOGNITION |
| Authors: |
Xiaoqian Jiang; Carnegie Mellon University | | |
| | Wanhong Xu; Carnegie Mellon University | | |
| | Latanya Sweeney; Carnegie Mellon University | | |
| | Yiheng Li; Carnegie Mellon University | | |
| | Ralph Gross; Carnegie Mellon University | | |
| | Daniel Yurovsky; Carnegie Mellon University | | |
| Abstract: |
The ability to quickly compute hand geometry measurements from a freely posed hand offers advantages to biometric identification systems. While hand geometry systems are not new, typical measurements of lengths and widths of fingers and palms require rigid placement of the hand against pegs. Slight deviations in hand position, finger stretch or pressure can yield different measurements. This paper offers novel approaches to computing hand geometry measurements from frontal views of freely posed hands. These approaches offer advantages in hygiene, comfort and reliability. Our algorithms segment the hand from a known background under spot lights and locate feature points along the fingers and wrists. Given a database of 54 hand images, with three different images of the same hand of each subject, our approach uniquely identified a previously unseen hand with an overall accuracy of 92%. |
