Iris recognition based on DWT and PCA
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| Keywords | |
| Abstract |
An Iris is unique compared to all other biometric and is used to authenticate a person. In this paper, we propose iris recognition based on DWT and PCA (IRDP). The iris region is localized using morphological process and a template is formed by using the left and right part of the iris to the pupil by discarding the upper and lower parts of the iris as they are usually occluded by eyelids and eyelashes. The DWT is applied on the histogram of iris template. The features are generated from the approximation band of the DWT using PCA. The classifiers viz., KNN, RF and SVM are used for matching. It is observed that the proposed algorithm has better performance parameters compared to existing algorithm. © 2011 IEEE. |
| Year of Conference |
2011
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| Conference Name |
Proceedings - 2011 International Conference on Computational Intelligence and Communication Systems, CICN 2011
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| Number of Pages |
489-493, 6112915+
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| ISBN Number |
978-076954587-5 (ISBN)
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| DOI |
10.1109/CICN.2011.102
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Conference Proceedings
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| Download citation | |
| Cits |
11
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