Contactless robust 3D palm-print identification using photometric stereo

Smith, Lyndon N.; Langhof, Max P.; Hansen, Mark F.; Smith, Melvyn L.

Abstract

Palmprints are of considerable interest as a reliable biometric, since they offer significant advantages, such as greater user acceptance than fingerprint or iris recognition. 2D systems can be spoofed by a photograph of a hand; however, 3D avoids this by recovering and analysing 3D textures and profiles. 3D palmprints can also be captured in a contactless manner, which is critical for ensuring hygiene (something that is particularly important in relation to pandemics such as COVID-19), and ease of use. The gap in prior work, between low resolution wrinkle studies and high-resolution palmprint recognition, is bridged here using high-resolution non-contact photometric stereo. A camera and illuminants are synchronised with image capture to recover high-definition 3D texture data from the palm, which are then analysed to extract ridges and wrinkles. This novel low-cost approach, which can tolerate distortions inherent to unconstrained contactless palmprint acquisition, achieved a 0.1% equ

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Applications of Digital Image Processing XLIV
• Start Date: Aug 1, 2021
• End Date: Aug 5, 2021
• Acceptance Date: May 7, 2021
• Publication Date: Aug 1, 2021
• Deposit Date: Sep 9, 2021
• Publisher: Society of Photo-optical Instrumentation Engineers
• Volume: 11842
• Series Title: SPIE Optical Engineering + Applications, 2021
• Series Number: Volume 1184227
• ISBN: 9781510645226
• DOI: https://doi.org/10.1117/12.2595439
• Keywords: 3D machine vision; biometrics (access control); feature extraction; image texture analysis, palmprint recognition
• Public URL: https://uwe-repository.worktribe.com/output/7746147
• Publisher URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11842/1184227/Contactless-robust-3D-palm-print-identification-using-photometric-stereo/10.1117/12.2595439.short?SSO=1
• Additional Information: Mathematics Subject Classification (MSC) code:; 68T45 Machine vision and scene understanding; ; Journal of Economic Literature (JEL) code:; L86 Information and Internet Services; Computer Software; ; Acknowledgements:; This work was supported in part by a UWE Vice Chancellor Early Career Research Award, which was awarded to M. Hansen. Full name of the funding body is: University of the West of England, Bristol.