Coherence Enhancement Diffusion using robust orientation estimation

Mohammad A. U. Khan, Tariq M. Khan, Wadee Al-Halabi, Hiba Shahid, Yinan Kong

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a new robust orientation estimation for Coherence Enhancement Diffusion (CED) is proposed. In CED, proper scale selection is very important as the gradient vector at that scale reflects the orientation of local ridge. For this purpose, a new scheme is proposed in which pre calculated orientation, by using orientation diffusion, is used to find the correct true local scale. From the experiments it is found that the proposed scheme is working much better in noisy environment as compared to the traditional Coherence Enhancement Diffusion.
Original languageEnglish
Pages (from-to)203-214
Number of pages12
JournalComputer science and information technology
Volume4
Issue number2
DOIs
Publication statusPublished - 2014

Keywords

  • Fingerprint Image Enhancement
  • Coherence Enhancement Diffusion Directional Filter Bank (DFB)
  • Decimation free Directional Filter Bank (DDFB)

Fingerprint Dive into the research topics of 'Coherence Enhancement Diffusion using robust orientation estimation'. Together they form a unique fingerprint.

Cite this