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Iris Texture Recognition Using Co-occurence Matrix Features with K_means Algorithm | ||
| Journal of Al-Nahrain University - Science | ||
| Article 1, Volume 14, Issue 4, 2011, Pages 185-190 | ||
| Author | ||
| Azhar M. Kadim | ||
| Abstract | ||
| Iris Recognition is a rapidly expanding method of biometric authentication that is well suited to be applied to any access control system requiring high level of security. In this paper k-means algorithm is employed to optimize the database enrollment, this is carried out by choosing the best image (among many) for the same person to be a template in the database. Iris images are mapped into texture features produced from co-occurrence matrix. Experimental results show that the performance of the proposed recognition system gave true identification rate of about 86% when using optimized database and 59% when using selected database | ||
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