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).
Reference:
Akhoury, S.S.A and Darlow, L.N. 2015. Extracting subsurface fingerprints using optical coherence tomography. In: IEEE Digital Information, Networking, and Wireless Communications (DINWC), 2015 Third International Conference , Moscow, Russia, February 3-5, 2015
Akhoury, S., & Darlow, L. (2015). Extracting subsurface fingerprints using optical coherence tomography. http://hdl.handle.net/10204/8332
Akhoury, SS, and LN Darlow. "Extracting subsurface fingerprints using optical coherence tomography." (2015): http://hdl.handle.net/10204/8332
IEEE Digital Information, Networking, and Wireless Communications (DINWC), 2015 Third International Conference , Moscow, Russia, February 3-5, 2015. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website
