Coherence Enhancement Diffusion Using Robust Orientation Estimation

Mohammad A. U. Khan1, Tariq M. Khan2, Wadee Al-Halabi3, Hiba Shahid1 and Yinan Kong2, 1Effat University, Saudi Arabia, 2Macquarie University, Australia and 3Abdulaziz University, Saudi Arabia; Mohammad A. U. Khan1, Tariq M. Khan2, Wadee Al-Halabi3, Hiba Shahid1 and Yinan Kong2, 1Effat University, Saudi Arabia, 2Macquarie University, Australia and 3Abdulaziz University, Saudi Arabia

Coherence Enhancement Diffusion Using Robust Orientation Estimation

Authors

Mohammad A. U. Khan¹, Tariq M. Khan², Wadee Al-Halabi³, Hiba Shahid¹ and Yinan Kong², ¹Effat University, Saudi Arabia, ²Macquarie University, Australia and ³Abdulaziz University, Saudi Arabia

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.

Keywords

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

CS&IT Conference Proceedings

Coherence Enhancement Diffusion Using Robust Orientation Estimation