Paper
28 December 1998 Optical security verification for blurred fingerprints
Author Affiliations +
Proceedings Volume 3575, Enforcement and Security Technologies; (1998) https://doi.org/10.1117/12.334988
Event: Enabling Technologies for Law Enforcement and Security, 1998, Boston, MA, United States
Abstract
Optical fingerprint security verification is gaining popularity, as it has the potential to perform correlation at the speed of light. With advancement in optical security verification techniques, authentication process can be almost foolproof and reliable for financial transaction, banking, etc. In law enforcement, when a fingerprint is obtained from a crime scene, it may be blurred and can be an unhealthy candidate for correlation purposes. Therefore, the blurred fingerprint needs to be clarified before it is used for the correlation process. There are a several different types of blur, such as linear motion blur and defocus blur, induced by aberration of imaging system. In addition, we may or may not know the blur function. In this paper, we propose the non-singularity inverse filtering in frequency/power domain for deblurring known motion-induced blur in fingerprints. This filtering process will be incorporated with the pow spectrum subtraction technique, uniqueness comparison scheme, and the separated target and references planes method in the joint transform correlator. The proposed hardware implementation is a hybrid electronic-optical correlator system. The performance of the proposed system would be verified with computer simulation for both cases: with and without additive random noise corruption.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boon Yi Soon, Mohammad A. Karim, and Mohammad S. Alam "Optical security verification for blurred fingerprints", Proc. SPIE 3575, Enforcement and Security Technologies, (28 December 1998); https://doi.org/10.1117/12.334988
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KEYWORDS
Fourier transforms

Optical correlators

Image filtering

Joint transforms

Computing systems

Image restoration

Imaging systems

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