9 August 1996 Fingerprint recognition using binary nonlinear joint transform correlators
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas J. Grycewicz, Thomas J. Grycewicz, } "Fingerprint recognition using binary nonlinear joint transform correlators", Proc. SPIE 10287, Optoelectronic Devices and Systems for Processing: A Critical Review, 1028704 (9 August 1996); doi: 10.1117/12.259695; https://doi.org/10.1117/12.259695

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