A review of state-of-the-art speckle reduction techniques for optical coherence tomography fingertip scans

Luke Nicholas Darlow; Sharat Saurabh Akhoury; James Connan

doi:10.1117/12.2180537

14 February 2015 A review of state-of-the-art speckle reduction techniques for optical coherence tomography fingertip scans

Luke Nicholas Darlow, Sharat Saurabh Akhoury, James Connan

Author Affiliations +

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 944523 (2015) https://doi.org/10.1117/12.2180537
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

Abstract

Standard surface fingerprint scanners are vulnerable to counterfeiting attacks and also failure due to skin damage and distortion. Thus a high security and damage resistant means of fingerprint acquisition is needed, providing scope for new approaches and technologies. Optical Coherence Tomography (OCT) is a high resolution imaging technology that can be used to image the human fingertip and allow for the extraction of a subsurface fingerprint. Being robust toward spoofing and damage, the subsurface fingerprint is an attractive solution. However, the nature of the OCT scanning process induces speckle: a correlative and multiplicative noise. Six speckle reducing filters for the digital enhancement of OCT fingertip scans have been evaluated. The optimized Bayesian non-local means algorithm improved the structural similarity between processed and reference images by 34%, increased the signal-to-noise ratio, and yielded the most promising visual results. An adaptive wavelet approach, originally designed for ultrasound imaging, and a speckle reducing anisotropic diffusion approach also yielded promising results. A reformulation of these in future work, with an OCT-speckle specific model, may improve their performance.

Citation Download Citation

Luke Nicholas Darlow, Sharat Saurabh Akhoury, and James Connan "A review of state-of-the-art speckle reduction techniques for optical coherence tomography fingertip scans", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944523 (14 February 2015); https://doi.org/10.1117/12.2180537

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available