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Multispectral contactless 3D handprint acquisition for identification

Hansen, Mark F; Smith, Lyndon; Smith, Melvyn

Authors

Mark Hansen Mark.Hansen@uwe.ac.uk
Senior Research Fellow - Centre for Machine Vision

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

Presentation Conference Type Conference Paper (unpublished)
Start Date Jul 30, 2018
Publication Date Jan 1, 2016
Peer Reviewed Peer Reviewed
Institution 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
Keywords 3D handprint recognition, photometric stereo, contactless, biometrics
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