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Optical Engineering

Design and acceleration of phase-only filter-based optical pattern recognition for fingerprint identification
Author(s): Kenneth L. Rice; Tarek M. Taha; Arshad M. Chowdhury; Abdul Ahad Sami Awwal; Damon L. Woodard
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Paper 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.

Paper Details

Date Published: 1 November 2009
PDF: 11 pages
Opt. Eng. 48(11) 117206 doi: 10.1117/1.3265549
Published in: Optical Engineering Volume 48, Issue 11
Show Author Affiliations
Kenneth L. Rice
Tarek M. Taha, Univ. of Dayton (United States)
Arshad M. Chowdhury, Georgia Institute of Technology (United States)
Abdul Ahad Sami Awwal, Lawrence Livermore National Lab. (United States)
Damon L. Woodard, Clemson Univ. (United States)

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