Title :
Extracting subsurface fingerprints using Optical Coherence Tomography
Author :
Akhoury, Sharat Saurabh ; Darlow, Luke Nicholas
Author_Institution :
Modelling & Digital Sci., Pretoria, South Africa
Abstract :
Physiologists have found that fingerprint patterns exist in the inner layers (viz. papillary junction) of the skin of the fingertip. However, conventional acquisition systems do not have capabilities to extract fingerprints at subsurface layers of the finger for use in identity authentication. The subsurface fingerprint representation is of a higher quality than the surface representation as it does not contain deformations such as creases or scars which may be present on the surface of the fingertip. This paper presents a novel approach to extract the subsurface fingerprint representation using a high-resolution imaging technology known as Optical Coherence Tomography (OCT).
Keywords :
feature extraction; fingerprint identification; optical tomography; skin; OCT; acquisition systems; finger subsurface layers; fingerprint pattern extraction; fingertip skin; high-resolution imaging technology; identity authentication; optical coherence tomography; physiologists; subsurface fingerprint extraction; subsurface fingerprint representation; Biomedical optical imaging; Coherence; Fingerprint recognition; Junctions; Optical imaging; Optical sensors; Tomography; Biometrics; Optical Coherence Tomography; Subsurface fingerprint;
Conference_Titel :
Digital Information, Networking, and Wireless Communications (DINWC), 2015 Third International Conference on
Conference_Location :
Moscow
Print_ISBN :
978-1-4799-6375-1
DOI :
10.1109/DINWC.2015.7054240