• 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