DocumentCode
1934969
Title
Extracting subsurface fingerprints using Optical Coherence Tomography
Author
Akhoury, Sharat Saurabh ; Darlow, Luke Nicholas
Author_Institution
Modelling & Digital Sci., Pretoria, South Africa
fYear
2015
fDate
3-5 Feb. 2015
Firstpage
184
Lastpage
187
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Information, Networking, and Wireless Communications (DINWC), 2015 Third International Conference on
Conference_Location
Moscow
Print_ISBN
978-1-4799-6375-1
Type
conf
DOI
10.1109/DINWC.2015.7054240
Filename
7054240
Link To Document