Journal of Information Processing Systems

  • 제8권3호
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  • Pages.421-436
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  • 2012
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  • 1976-913X(pISSN)
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  • 2092-805X(eISSN)
한국정보처리학회 (Korea Information Processing Society)
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A New Approach to Fingerprint Detection Using a Combination of Minutiae Points and Invariant Moments Parameters

  • Basak, Sarnali (Department of Computer Science and Engineering, Jahangirnagar University) ;
  • Islam, Md. Imdadul (Department of Computer Science and Engineering, Jahangirnagar University) ;
  • Amin, M.R. (Department of Electronics and Communications Engineering, East West University)
  • 투고 : 2011.10.27
  • 심사 : 2012.06.08
  • 발행 : 2012.09.30
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초록

Different types of fingerprint detection algorithms that are based on extraction of minutiae points are prevalent in recent literature. In this paper, we propose a new algorithm to locate the virtual core point/centroid of an image. The Euclidean distance between the virtual core point and the minutiae points is taken as a random variable. The mean, variance, skewness, and kurtosis of the random variable are taken as the statistical parameters of the image to observe the similarities or dissimilarities among fingerprints from the same or different persons. Finally, we verified our observations with a moment parameter-based analysis of some previous works.

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참고문헌

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