Design and acceleration of phase-only filter-based optical pattern recognition for fingerprint identification

Kenneth L. Rice; Tarek M. Taha; Arshad M. Chowdhury; Abdul Ahad Sami Awwal; Damon L. Woodard

doi:10.1117/1.3265549

1 November 2009 Design and acceleration of phase-only filter-based optical pattern recognition for fingerprint identification

Kenneth L. Rice, Tarek M. Taha, Arshad M. Chowdhury, Abdul Ahad Sami Awwal, Damon L. Woodard

Author Affiliations +

Optical Engineering, Vol. 48, Issue 11, 117206 (November 2009). https://doi.org/10.1117/1.3265549

Abstract

We present the use of phase-only filter-based correlation for fingerprint pattern identification. The main advantage of this approach is that it is distortion tolerant and can be realized in optical or electronic parallel hardware. Given that real-world fingerprints are almost never perfect, distortion tolerance can prove to be very important for this application. Our results indicate that the algorithm can identify prints with 58% of the data missing on average. With large fingerprint databases, identification can be a computationally challenging task. The high parallelism in the phase-only correlation filter makes it ideally suited to field programmable gate array (FPGA)-based hardware acceleration. We examine the FPGA-based acceleration of the fingerprint algorithm. On a Xilinx Virtex II Pro FPGA, we achieve speedups of about 47 times over an optimized C implementation of the algorithm on a 2.2-GHz AMD Opteron processor. Our FPGA implementation is optimized to allow efficient processing of large databases.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Kenneth L. Rice, Tarek M. Taha, Arshad M. Chowdhury, Abdul Ahad Sami Awwal, and Damon L. Woodard "Design and acceleration of phase-only filter-based optical pattern recognition for fingerprint identification," Optical Engineering 48(11), 117206 (1 November 2009). https://doi.org/10.1117/1.3265549

Published: 1 November 2009

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