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Projected Texture for Hand Geometry Based Authentication

Avinash Sharma, Nishant Shobhit, Anoop M. Namboodiri
CVPRW 2008 pp. 1-6
doi:10.1109/CVPRW.2008.4563121 /cvprw/2008/sharma2008cvprw-projected/

Abstract

We propose a novel approach to 3D hand geometry based person authentication using projected light patterns. Instead of explicitly computing a depth map of the palm for recognition, we capture the depth information in the deformations of a projected texture pattern, and use it directly for recognition. The deformed pattern is characterized using local texture measures, which can encode the certain depth characteristics of the palm. An authentication system built using the proposed technique achieves an equal error rate of 0.84% on a dataset of 1341 samples collected from 149 users, as opposed to 4.03% using traditional 2D features on an identical dataset. The approach is robust as well as computationally efficient and could be applied to other 3D object recognition problems as well.

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Text

Sharma et al. "Projected Texture for Hand Geometry Based Authentication." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563121

Markdown

[Sharma et al. "Projected Texture for Hand Geometry Based Authentication." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/sharma2008cvprw-projected/) doi:10.1109/CVPRW.2008.4563121

BibTeX

@inproceedings{sharma2008cvprw-projected,
  title     = {{Projected Texture for Hand Geometry Based Authentication}},
  author    = {Sharma, Avinash and Shobhit, Nishant and Namboodiri, Anoop M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-6},
  doi       = {10.1109/CVPRW.2008.4563121},
  url       = {https://mlanthology.org/cvprw/2008/sharma2008cvprw-projected/}
}