| Status | 已發表Published |
| Iris recognition based on non-separable wavelet | |
| Huang J.1; You X.1; Tang Y.Y.2 | |
| 2008-12-01 | |
| Source Publication | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
 |
| Pages | 1552-1557 |
| Abstract | This paper focuses on the rotation noise of iris recognition. Current iris recognition systems are unable to deal with the rotation noise perfectly. We propose a novel method for iris matching that decompose iris picture into wavelet subband coefficients via 16 non-separable wavelet filters, and use generalized Gaussian density(GGD) modeling of each nonseparable orthogonal wavelet coefficients as a means of feature extraction, then compute the Kullback-Leibler distance (KLD) between GGDs and compare the iris code using the Kullback-Leibler distance. Experiments show that the proposed method is rotation invariance, it does not decrease their recognition rate, when the iris image is rotated. © 2008 IEEE. |
| Keyword | Discrete non-separable wavelet transform Generalized Gaussian density Iris recognition Kullback-Leibler distance |
| DOI | 10.1109/ICSMC.2008.4811507 |
| URL | View the original |
| Language | 英語English |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Conference paper |
| Collection | University of Macau |
| Affiliation | 1.Huazhong University of Science and Technology 2.Hong Kong Baptist University |
| Recommended Citation GB/T 7714 | Huang J.,You X.,Tang Y.Y.. Iris recognition based on non-separable wavelet[C], 2008, 1552-1557. |
| APA | Huang J.., You X.., & Tang Y.Y. (2008). Iris recognition based on non-separable wavelet. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 1552-1557. |
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