Contactless robust 3D palm-print identification using photometric stereo

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

doi:10.1117/12.2595439

1 August 2021 Contactless robust 3D palm-print identification using photometric stereo

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

Proceedings Volume 11842, Applications of Digital Image Processing XLIV; 1184227 (2021) https://doi.org/10.1117/12.2595439
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Conference Poster

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

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Citation Download Citation

Lyndon N. Smith, Max P. Langhof, Mark F. Hansen, and Melvyn L. Smith "Contactless robust 3D palm-print identification using photometric stereo", Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 1184227 (1 August 2021); https://doi.org/10.1117/12.2595439

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