Fingerprint recognition using binary joint transform correlators with constant false alarm rate

Thomas J. Grycewicz

doi:10.1117/12.270384

27 March 1997 Fingerprint recognition using binary joint transform correlators with constant false alarm rate

Thomas J. Grycewicz

Proceedings Volume 3073, Optical Pattern Recognition VIII; (1997) https://doi.org/10.1117/12.270384
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

This study is an experimental analysis of a binary joint transform based fingerprint verification system. A constant false alarm rate performance analysis is used. Correct detection of matching prints is defined as a valid pass. Correct (non)detection of unmatched prints is a valid reject. Rejection of matching prints is a false alarm, and passing unmatched prints is a false pass. In this evaluation, the probability of false alarm is fixed by the detection threshold setting, and the resulting probability of false pass is analyzed. It is shown that for print rotations up to +/- 3 degrees a false alarm rate of 1 percent can be maintained with a probability of false pass of less than 5 percent. For a smaller acceptance window on the print rotation, better performance can be obtained. Experimental and simulation data is presented.

Citation Download Citation

Thomas J. Grycewicz "Fingerprint recognition using binary joint transform correlators with constant false alarm rate", Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); https://doi.org/10.1117/12.270384

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