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Edges Detection Methods Based On Filtering Followed By Application Of Differential Operators For Fingerprint


  • Catalin LUPU

    () (“Stefan cel Mare ” University of Suceava, Romania)


This article presents the advantages of edge detection methods using filtering operations followed by application of differential operators fingerprint an image. When using methods based on differential operators when applying intensity variations can be detected by differentiation, but if noisy signals differentiation is dangerous due to the effect of amplifying the high frequencies. To eliminate this disadvantage must be designed optimal edge detectors (Canny) which satisfy the following criteria: accurate detection, correct location and a single response to a single edge.

Suggested Citation

  • Catalin LUPU, 2011. "Edges Detection Methods Based On Filtering Followed By Application Of Differential Operators For Fingerprint," The Annals of the "Stefan cel Mare" University of Suceava. Fascicle of The Faculty of Economics and Public Administration, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration, vol. 11(2(14)), pages 258-264, December.
  • Handle: RePEc:scm:ausvfe:v:11:y:2011:i:2(14):p:258-264

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