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International audienceThe performance of the iris verification process highly depends on its extractor of iris features. So, to reduce the dimensionality of the iris image and improve the recognition rate, an iris features extraction method based on curvelet transform is proposed and presented in this paper. Thus, our paper focuses on presenting of our curvelet-based iris features extraction method. This method consists of two steps: decompose images into set of sub-bands by the curvelet transform and automatic extraction of the most discriminative features of these sub-bands. An extensive experimental results show that the proposed method is effective and encouraging

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