An Efficient De-noising Technique for Fingerprint Image Using Wavelet Transformation

Author:

Dass Ashish Kumar,Shial Rabindra Kumar

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Maltoni, D., Maio, D., Jain, A.K., Prabahar, S.: Handbook of Fingerprint Recognition. Springer (2009)

2. Coetzee, L., Botha, E.C.: Fingerprint Recognition in Low Quality Images. Pattern Recognition 26(10), 1441–1460 (1993)

3. Zhao, Z.-B., Yuan, J.-S., Gao, Q., Kong, Y.-H.: Wavelet Image De-Noising Method Based On Noise Standard Deviation Estimation. In: Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, China, November 2-4 (2007)

4. Mallat, S.G., Hwang, W.L.: Singularity detection and processing with wavelets. IEEE Trans. Inform. Theory 38, 617–643 (1992)

5. Gornale, S.S., Humbe, V., Manza, R., Kale, K.V.: Fingerprint image de-noising using multi-resolution analysis (MRA) through stationary wavelet transform (SWT) method. International Journal of Knowledge Engineering 1(1), 5–14 (2010) ISSN: 0976–5816

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