Iris Recognition Using Support Vector Machines

In this work, a new method for iris recognition based on support vector machines was proposed. The recognition consisted of three major components: image preprocessing, feature extraction and classification. Location and normalization methods were employed in image preprocessing. In iris classification and verification, an efficient approach called support vector machines was used. Experimental results show that the proposed method has an emerging performance.

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