Dr. Sang-Il Jin Profile

Dr. Sang-Il Jin

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Proceedings Article | 26 January 2010 Paper

Fake fingerprint detection based on image analysis

Sang-il Jin, You-suk Bae, Hyun-ju Maeng, Hyun-suk Lee

Proceedings Volume 7536, 75360C (2010) https://doi.org/10.1117/12.840216

KEYWORDS: Fingerprint recognition, Silicon, Image sensors, Computing systems, Image analysis, Sensors, Stars, Analytical research, Image processing, Image quality

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Fingerprint recognition systems have become prevalent in various security applications. However, recent studies have shown that it is not difficult to deceive the system with fake fingerprints made of silicon or gelatin. The fake fingerprints have almost the same ridge-valley patterns as ones of genuine fingerprints so that conventional systems are unable to detect fake fingerprints without a particular detection method. Many previous works against fake fingers required extra sensors; thus, they lacked practicality. This paper proposes a practical and effective method that detects fake fingerprints, using only an image sensor. Two criteria are introduced to differentiate genuine and fake fingerprints: the histogram distance and Fourier spectrum distance. In the proposed method, after identifying an input fingerprint of a user, the system computes two distances between the input and the reference that comes from the registered fingerprints of the user. Depending on the two distances, the system classifies the input as a genuine fingerprint or a fake. In the experiment, 2,400 fingerprint images including 1,600 fakes were tested, and the proposed method has shown a high recognition rate of 95%. The fake fingerprints were all accepted by a commercial system; thus, the use of these fake fingerprints qualifies the experiment.

Proceedings Article | 27 November 2002 Paper

Fractional correlation based on nonconventional joint transform correlator

Sang-il Jin, You-Seok Bae, Soo-Young Lee

Proceedings Volume 4789, (2002) https://doi.org/10.1117/12.450842

KEYWORDS: Fourier transforms, Optical correlators, Joint transforms, Sensors, Fractional fourier transform, Lenses, Signal detection, Lead, Mirrors, Solids

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Fractional correlation is an extension of the conventional correlation. It employs fractional Fourier transform (FRFT) that includes the conventional Fourier transform as a special case where the order of the FRFT equals one. Because of the FRFT's lack of the shift-invariant property, the FRFT is not applicable to the conventional joint transform correlator, but to the nonconventional joint transform correlator (NJTC) that have been proposed by F. T. S. Yu et al., in which separate lenses transform the input signals and their spectral distributions overlap on the square-law detector. This provides an optical implementation of the fractional correlation. The conventional Fourier transform generally yields a high peak at the center of the spectral plane. But the FRFT gives a spectral distribution with no high peak, which is desirable because the square-law detector has a finite dynamic range for the linearity. Moreover, we prove that the fractional correlation produces a narrower output distribution and has the same correlation value at the center of the output plane as the conventional correlation. The conventional correlation has the shift-invariant property, but the fractional correlation has not.

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