| Title: | Exploiting Finger Surface As a Biometric Identifier |
| Speaker: | Damon Woodard Post-Doctoral Research Associate Department of Computer Science University of Notre Dame |
| Abstract: | Biometrics, the discipline of establishing an individual's identity based upon physical or behavioral characteristics, has become of major research area mainly due to the numerous applications for reliable personal identification. The performance of a biometric system is highly dependent on the chosen biometric identifier. We present a novel approach for personal identification which utilizes 3D finger surface features as a biometric identifier. Using 3D range images of the hand, a surface representation for the index, middle, and ring finger is calculated and used for comparison to determine subject similarity. We use the curvature based shape index to represent the fingers' surface. A large unique database of hand images supports the research. We use data sets obtained over time to examine the performance of each individual finger surface as a biometric identifier as well as the recognition performance obtained when combining them. The probe and gallery sets sizes are varied to determine their affect on overall system performance. We present performance results for both authentication and identification tasks which suggest that 3D finger surface is a viable choice as a biometric identifier. |
| Location: | Palenske 227 |
| Date: | 4/6/2006 |
| Time: | 3:10 PM |
@abstract{MCS:Colloquium:DamonWoodard
Post-DoctoralResearchAssociate
DepartmentofComputerScience
UniversityofNotreDame:2006:4:6,
author = "{Damon Woodard
Post-Doctoral Research Associate
Department of Computer Science
University of Notre Dame}",
title = "{Exploiting Finger Surface As a Biometric Identifier}",
address = "{Albion College Mathematics and Computer Science Colloquium}",
month = "{6 April}",
year = "{2006}"
}