TITLE:
Local Orientation Field Based Nonlocal Means Method for Fingerprint Image De-Noising
AUTHORS:
J. Zou, J. B. Feng, X. M. Zhang, M. Y. Ding
KEYWORDS:
Fingerprint Image Denoising; Nonlocal Means Filtering; Orientation Field
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.4 No.3B,
October
17,
2013
ABSTRACT:
The de-noising of the fingerprint
image is one of the key tasks before the extraction of the minutiae in
automatic fingerprint matching. When used for de-noising the fingerprint image,
the nonlocal means method can not preserve the local minutiae in the
fingerprint image very well. To address this problem, we propose a local
orientation field based nonlocal means (NLM-LOF) method in this paper. Experimental
results on the simulated and real images show that the proposed method can
suppress noise effectively while preserving edges and details in the
fingerprint image and it outperforms the state-of-art nonlocal means method in
terms of qualitative metrics and visual comparisons.