
Proceedings Paper
Fingerprint recognition using binary nonlinear joint transform correlatorsFormat | Member Price | Non-Member Price |
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Paper Abstract
The joint transform binarization routines of frame subtraction and Fourier plane windowing are reviewed. A binary joint transform correlator (BJTC) fingerprint verification system design based on constant false alarm rate (CFAR) processing is proposed. These techniques are used to show that a BJTC based recognition system can be designed to have very good system performance. The tradeoffs between using all or part of the joint power spectrum and between displaying one or several reference prints in the input plane are addressed through simulation. It is shown that both Fourier plane windowing and multiple reference inputs can be used to significantly improve throughput at a slight cost in system performance. A recognition system with a single reference is shown to operate with a CFAR of 1 percent and a probability of false pass of less than 1 percent through a rotation range of ±3.5 degrees. A three reference system with different rotations of the same print as references obtains the same CFAR and similar false pass performance through a range of ±6 degrees.
Paper Details
Date Published: 9 August 1996
PDF: 21 pages
Proc. SPIE 10287, Optoelectronic Devices and Systems for Processing: A Critical Review, 1028704 (9 August 1996); doi: 10.1117/12.259695
Published in SPIE Proceedings Vol. 10287:
Optoelectronic Devices and Systems for Processing: A Critical Review
Bahram Javidi; Kristina M. Johnson, Editor(s)
PDF: 21 pages
Proc. SPIE 10287, Optoelectronic Devices and Systems for Processing: A Critical Review, 1028704 (9 August 1996); doi: 10.1117/12.259695
Show Author Affiliations
Thomas J. Grycewicz, Air Force Rome Lab. (United States)
Published in SPIE Proceedings Vol. 10287:
Optoelectronic Devices and Systems for Processing: A Critical Review
Bahram Javidi; Kristina M. Johnson, Editor(s)
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