A Minimum Number of Features with Full-Accuracy Iris Recognition

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).

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