human-iris-center-detection-using-CNN

This is an implementation to the CNN model architecture in the paper Accurate Eye Pupil Localization Using Heterogeneous CNN Models

• It was implemented on the public dataset GI4E
• Multiple preprocessing stages were executed on the dataset to reach the required format of predictors and labels for the CNN model
• Finally, the CNN model was trained and tested on ten different images

Reference paper link: https://ieeexplore.ieee.org/abstract/document/8803121

Dataset link: https://www.unavarra.es/gi4e/databases/gi4e/