Mark Hansen Mark.Hansen@uwe.ac.uk
Professor of Machine Vision and Machine Learning
Multispectral contactless 3D handprint acquisition for identification
Hansen, Mark F; Smith, Lyndon; Smith, Melvyn
Authors
Lyndon Smith Lyndon.Smith@uwe.ac.uk
Professor in Computer Simulation and Machine
Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof
Abstract
We present and experimentally demonstrate the potential effectiveness of a photometric stereo based high resolution system for capturing 3D handprints using visible light sources. The sub-surface vascular structures are also enhanced through the use of near-infrared light sources which offers a potentially useful technique to increase system security. In contrast to existing systems which locate specific minutiae features of a fingerprint, we propose to use a global/holistic approach based on the spatial frequencies of the handprint, and preliminary results on 11 subjects show the high potential of this approach for contactless biometric identification purposes
Citation
Hansen, M. F., Smith, L., & Smith, M. (2018, July). Multispectral contactless 3D handprint acquisition for identification. Paper presented at The 20th International Conference on Artificial Intelligence, 2018 World Congress in Computer Science, Computer Engineering, & Applied Computing, Las Vegas, USA
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | The 20th International Conference on Artificial Intelligence, 2018 World Congress in Computer Science, Computer Engineering, & Applied Computing |
Conference Location | Las Vegas, USA |
Start Date | Jul 30, 2018 |
End Date | Aug 2, 2018 |
Acceptance Date | May 12, 2016 |
Publication Date | Jan 1, 2016 |
Deposit Date | Jun 7, 2016 |
Peer Reviewed | Peer Reviewed |
Keywords | 3D handprint recognition, photometric stereo, contactless, biometrics |
Public URL | https://uwe-repository.worktribe.com/output/919501 |
Additional Information | Title of Conference or Conference Proceedings : The 20th International Conference on Artificial Intelligence, 2018 World Congress in Computer Science, Computer Engineering, & Applied Computing |
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