Provide a new way to improve diagnostic performance in iris recognition systems in Ahwaz Pipe Manufacturing Company

The iris detection system consists of several stages for recording staff entry and exit, one of the most important of which is feature extraction. Most existing systems use a special method to extract the feature. In order to improve the performance of the system, we used the particle optimization algorithm to find the combined method extraction method. The proposed method uses a large number of filters and conversions in the extraction of features and finds the best combination of them during the repetition of the algorithm. Finally, a set of methods, including a number of wavelets, filter, and February conversions, was obtained as the most optimal combination feature extraction method. In experiments, improved performance of the proposed combination method compared to methods using only one filter was shown using ROC diagram. Was. Comparisons showed that the proposed method performed better in most situations than the newest methods. This method achieved FAR of zero and FRR of 0.92.