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Proceedings Paper

Sensor performance evaluation analysis of imitation fingerprint
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Paper Abstract

The fingerprint recognition is the most developed field in the biometrics recognition and it can apply to the various applications. So the various studies are in progress for an enhancement of fingerprint recognition performance. In this paper, we will study the fingerprint recognition sensor. The fingerprint becomes input using fingerprint sensor to the fingerprint recognition system and the performance of the sensor has an effect on the fingerprint quality. Therefore, the improvement of system performance is possible by improving the performance of sensor. In this paper, we will study sensors which can be protected or unprotected from artificial fingerprint attack. We make various artificial fingerprints, and test sensors to overcome artificial fingerprint attack. We will analyze results of scanning test according to the various sensors and propose the method using the histogram of the normal image in order to measure the performance of these sensors. The measured characteristics are the resolution, shift, gradient, contrast, and rotation. The purpose of this paper is to propose the ways of the performance measurement which can be a criterion to evaluate the sensor performance.

Paper Details

Date Published: 27 March 2008
PDF: 9 pages
Proc. SPIE 6979, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI, 697904 (27 March 2008); doi: 10.1117/12.777536
Show Author Affiliations
Kyung-hee Yu, Korea Polytechnic Univ. (South Korea)
Hyunsuk Lee, Korea Polytechnic Univ. (South Korea)
You-suk Bae, Korea Polytechnic Univ. (South Korea)


Published in SPIE Proceedings Vol. 6979:
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI
Harold H. Szu; F. Jack Agee, Editor(s)

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