Application of convolution neural network in Iris recognition technology
Wenqiang Zhang, Changyuan Wang, Pengxiang Xue · 2017
The iris recognition of the human eye is mainly aimed at iris matching, and there are congenital differences in different iris. In this paper, the iris image is identified by designing efficient convolution neural network(CNN) model. Firstly, with the preprocessing of iris image, the iris region is extracted and divided into eight rectangular sub-regions. And then, those sub-regions are put into the designed model, which can extract the abstract features of the iris automatically. Finally, The iris is identified by the model that learned by a large number of training data. Experiments show that the correctness of the proposed method can reach about 99.0%, which can meet the requirement of iris recognition effectively.