Universiti Teknologi Malaysia Institutional Repository

Analysis of Proposed Noise Detection & Removal Technique in Degraded Fingerprint Images

Hamid, Ainul Azura Abdul and Mohd. Rahim, Mohd. Shafry and Al-Mazyad, Abdulaziz S. and Saba, Tanzila (2015) Analysis of Proposed Noise Detection & Removal Technique in Degraded Fingerprint Images. 3D Research, 6 (4). ISSN 2090-9063

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Official URL: http://dx.doi.org/10.1007/s13319-015-0067-2


The quality of fingerprint images is important to ensure good performance of fingerprint recognition since recognition process depends heavily on the quality of fingerprint images. Fingerprint images obtained from the acquisition phase are either contaminated with noise or degraded due to poor quality machines. Several factors such as scars, moist in scanner and many more noises affect the quality of the images during scanning process. This paper performed an analysis and compared noise removal techniques reported in the literature for fingerprint images. We also implemented histogram equalization, median filter, Fourier transform, unsharp mask and grayscale enhancement techniques. The quality of enhanced images is measured by peak signal to noise ratio (PSNR) calculation for analysis and comparisons.

Item Type:Article
Uncontrolled Keywords:fourier transform, grayscale enhancement technique, histogram equalization, median filtering, psnr, unsharp mask
Subjects:A General Works
ID Code:57807
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:09 Apr 2017 15:48

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