Multispectral contactless 3D handprint acquisition for identification

Hansen, M. F., Smith, L. and Smith, M. (2016) Multispectral contactless 3D handprint acquisition for identification. In: The 20th International Conference on Artificial Intelligence, 2018 World Congress in Computer Science, Computer Engineering, & Applied Computing, Las Vegas, USA, 30 July - 2 August 2018. [In Press] Available from: http://eprints.uwe.ac.uk/29041

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Abstract/Description

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

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:3D handprint recognition, photometric stereo, contactless, biometrics
Faculty/Department:Faculty of Environment and Technology > Department of Engineering Design and Mathematics
ID Code:29041
Deposited By: Dr M. Hansen
Deposited On:09 Jun 2016 08:59
Last Modified:10 May 2018 13:05

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