A Minimum Number of Features with Full-Accuracy Iris Recognition
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 3
Abstract
A minimum number of features for 100% iris recognition accuracy is developed in this paper. Such number is based on dividing the unwrapped iris into vertical and horizontal segments for a single iris and only vertical segments for dual-iris recognition. In both cases a simple technique that regards the mean of a segment as a feature is adopted. Algorithms and flowcharts to find the minimum of Euclidean Distance (ED) between a test iris and a matching database (DB) one are discussed. A threshold is selected to discriminate between a genuine acceptance (recognition) and a false acceptance of an imposter. The minimum number of features is found to be 47 for single iris and 52 for dual iris recognition. Comparison with recently-published techniques shows the superiority of the proposed technique regarding accuracy and recognition speed. Results were obtained using the phoenix database (UPOL).
Authors and Affiliations
Ibrahim Ziedan, Mira Sobhi
Keywords
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- EP ID EP148049
- DOI 10.14569/IJACSA.2015.060306
- Views 117
- Downloads 0
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