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).

Ibrahim E. Ziedan and Mira Magdy Sobhi, “A Minimum Number of Features with Full-Accuracy Iris Recognition” International Journal of Advanced Computer Science and Applications(IJACSA), 6(3), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060306

@article{Ziedan2015,
title = {A Minimum Number of Features with Full-Accuracy Iris Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060306},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060306},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {3},
author = {Ibrahim E. Ziedan and Mira Magdy Sobhi}
}