28 March 1995 Fingerprint identification with the joint transform correlator using multiple reference fingerprints
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Abstract
A new binary joint transform correlator (BJTC) algorithm has been implemented which compares a target fingerprint with six reference fingerprints. The correlator uses the frame subtraction technique to achieve very dense packing of the images in this input plane. Six 128 X 64 reference prints and a target print are displayed simultaneously on a 256 X 256 input SLM. A peak-to-noise ratio (PNR) of 12.7 dB has been demonstrated experimentally, and a potential for a PNR as high as 41 dB is shown using simulation. This is compared to a PNR of 6.8 dB achieved without using frame subtraction. This demonstrates that through use of frame subtraction the input separation constraints for the BJTC are eliminated and performance is improved.
© (1995) 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 identification with the joint transform correlator using multiple reference fingerprints", Proc. SPIE 2490, Optical Pattern Recognition VI, (28 March 1995); doi: 10.1117/12.205782; https://doi.org/10.1117/12.205782
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