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Proceedings Paper

Coding considerations for high-bandwidth analog optical signal processing applications based on spectral holography
Author(s): R. Krishna Mohan; Tiejun Chang; Kristian D. Merkel; Wm. Randall Babbitt
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Paper Abstract

The pattern matching for fingerprints requires a large amount of data and computation time. Practical fingerprint identification systems require minimal errors and ultrafast processing time to perform real time verification and identification. By utilizing the two-dimensional processing capability, ultrafast processing speed and noninterfering communication of optical processing techniques, fingerprint identification systems can be implemented in real time. Among the various pattern matching systems, the joint transform correlator (JTC) has been found to be inherently suitable for real time matching applications. Among the various JTCs, the fringeadjusted JTC has been found to yield significantly better correlation output compared to alternate JTCs. In this paper, we review the latest trends and advancements in fingerprint identification system based on the fringeadjusted JTC. Since all pattern matching systems suffer from high sensitivity to distortions, the synthetic discriminant function concept has been incorporated in fringe-adjusted JTC to ensure distortion-invariant fingerprint identification. On the other hand a novel polarization-enhanced fingerprint verification system is described where a polarized coherent light beam is used to record spatially dependent response of the scattering medium of the fingerprint to provide detailed surface information, which is not accessible to mere intensity measurement. It is shown that polarization-enhanced database improves the accuracy of the fingerprint identification or verification system significantly. Keywords: Fringe-adjust joint transform correlation, finger print identification, polarization, synthetic discriminant function

Paper Details

Date Published: 17 June 2004
PDF: 11 pages
Proc. SPIE 5362, Advanced Optical and Quantum Memories and Computing, (17 June 2004); doi: 10.1117/12.540887
Show Author Affiliations
R. Krishna Mohan, Montana State Univ./Bozeman (United States)
Tiejun Chang, Montana State Univ./Bozeman (United States)
Kristian D. Merkel, Montana State Univ./Bozeman (United States)
Wm. Randall Babbitt, Montana State Univ./Bozeman (United States)

Published in SPIE Proceedings Vol. 5362:
Advanced Optical and Quantum Memories and Computing
Hans J. Coufal; Zameer U. Hasan, Editor(s)

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