Multispectral contactless 3D handprint acquisition for identification

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

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• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: The 20th International Conference on Artificial Intelligence, 2018 World Congress in Computer Science, Computer Engineering, & Applied Computing
• 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
• Contract Date: Jun 7, 2016