Work place: Kongu Engineering College, Perundurai-638052, Tamilnadu, India



Research Interests: Image Processing, Network Security, Information Security, Computer Networks, Image Manipulation, Image Compression


S.Usha, presently working as an Assistant Professor(Senior Grade) in EEE Department, Kongu Engineering College, Perundurai, Erode, TamilNadu. She received her B.E.,in Electronics and Communication Engineering in1992 at Bharathiar University, Coimbatore. M.E. in Power Electronics and Drives in 2008 at Anna University, Chennai. She is presently working for her Ph.D in the area of information Security. She had published several papers in International and National Conferences. Her area of interest includes Network Security, Mobile ad hoc Networks and Digital Image Processing.

Author Articles
Performance Analysis of Fingerprint Denoising Using Stationary Wavelet Transform

By Usha.S Kuppuswami.S

DOI:, Pub. Date: 8 Oct. 2015

Finger print is the finest and cheapest recognition system because of its easy extraction of unique features like bifurcation and termination. But the quality of fingerprint data are easily degraded by dryness of skin, wet, wound and other types of noises. Hence, denoising of fingerprint image is vital step for automatic fingerprint recognition system. In the proposed paper the removal of noise from fingerprint images by using stationary wavelet transform and adaptive thresholding method is analysed. The proposed algorithm is developed using MATLAB (R2010b) and tested in the fingerprint images collected from FVC2004 database and R303A optical scanner. The performance of the method is analysed by calculating the quality metrics like Peak Signal to Noise Ratio, Universal Quality Index , Structure Similarity and Multi-Scale Structure Similarity (MS-SSIM). The quality of fingerprint image after noise removal using proposed analysis confirms the suggested method is better than the conventional techniques.

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