ML Anthology

Personal Identification Utilizing Finger Surface Features

Damon L. Woodard, Patrick J. Flynn
CVPR 2005 pp. 1030-1036
doi:10.1109/CVPR.2005.273 /cvpr/2005/woodard2005cvpr-personal/

Abstract

In this paper we present a novel approach for personal identification, which utilizes finger surface features as a biometric identifier. Using dense range data images of the hand, we calculate the curvature-based surface representation, shape index, for the index, middle, and ring fingers. This representation is used for comparisons to determine subject similarity. Our experiments involve the use of a large data set of range images collected over time. We examine the performance of individual finger surfaces as a biometric identifier as well as the performance when using the three finger surfaces in conjunction. The results of our experiments are presented, which indicate that this approach performs well for a first-of-its-kind biometric technique.

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Cite

Text

Woodard and Flynn. "Personal Identification Utilizing Finger Surface Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.273

Markdown

[Woodard and Flynn. "Personal Identification Utilizing Finger Surface Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/woodard2005cvpr-personal/) doi:10.1109/CVPR.2005.273

BibTeX

@inproceedings{woodard2005cvpr-personal,
  title     = {{Personal Identification Utilizing Finger Surface Features}},
  author    = {Woodard, Damon L. and Flynn, Patrick J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {1030-1036},
  doi       = {10.1109/CVPR.2005.273},
  url       = {https://mlanthology.org/cvpr/2005/woodard2005cvpr-personal/}
}