Iris Based Human Identity Recognition with Deep Learning Methods

One of the most important modules of computer systems is the one that is responsible for user safety. It was proven that simple passwords and logins cannot guarantee high efficiency and are easy to obtain by hackers. The well-known alternative is identity recognition based on biometrics. In recent years, more interest was observed in iris as a biometrics trait. It was caused due to high efficiency and accuracy guaranteed by this measurable feature. The consequences of such interest are observable in the literature. There are multiple, diversified approaches proposed by different authors. In this work, we present our own approach to iris-based human identity recognition algorithm. For classification, the algorithm was used CNN (Convolutional neural network) based transfer learning model (Mobile Net) and artificial neural networks.Once after the classification, the segmentation is performed on the classified output and iris part is segmented. Performed tests have shown that satisfactory results can be obtained with the proposed method.