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Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)
Iris Image Denoising Algorithm Based on Phase Preserving
Dalian, China
December 05-December 08
ISBN: 0-7695-2405-2
| ASCII Text | x | ||
| Wang Jian-ming, Ding Run-tao, "Iris Image Denoising Algorithm Based on Phase Preserving," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 832-835, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/PDCAT.2005.158, author = {Wang Jian-ming and Ding Run-tao}, title = {Iris Image Denoising Algorithm Based on Phase Preserving}, journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on}, volume = {0}, year = {2005}, isbn = {0-7695-2405-2}, pages = {832-835}, doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.158}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Parallel and Distributed Computing Applications and Technologies, International Conference on TI - Iris Image Denoising Algorithm Based on Phase Preserving SN - 0-7695-2405-2 SP832 EP835 A1 - Wang Jian-ming, A1 - Ding Run-tao, PY - 2005 KW - null VL - 0 JA - Parallel and Distributed Computing Applications and Technologies, International Conference on ER - | |||
Corruption of texture features of iris often occurs during denoising an iris image because of its irregularity and frangibility. So it is difficult to design iris image denoising algorithm. In this paper a novel iris image denoising algorithm is proposed, in which phase preserving principle is held to avoid corruption of iris texture features .Importance of phase information for iris image is shown by an experiment and the method to implement phase preserving by complex Gabor wavelets is explained. To verify the algorithm, white noise is added to iris images and Hamming distances between the iris images are calculated before and after the denoising algorithm is applied. The results show that the denoising algorithm can improve the quality of iris image evidently.
Citation:
Wang Jian-ming, Ding Run-tao, "Iris Image Denoising Algorithm Based on Phase Preserving," pdcat, pp.832-835, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005
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