Intelligent Human Iris Recognition System Based on Deep Learning Models

Andreea Negoiţescu

2025

Abstract

This research paper presents the development of an intelligent biometric system which performs human iris recognition. The software application that incorporates it is called KEYE. Deep learning models are implemented to segment and recognize the users’ irises at authentication. Iris segmentation uses a modified version of the U-Net convolutional neural network, trained and validated on images from the I-SOCIAL-DB dataset. The experimental results prove a maximum validation accuracy of 98.98% and a Dice score of 0.93. The extraction of features from the segmented images is done using part of the layers of the pre-trained DenseNet-201 neural network. For classification, the KEYE-DB dataset with visible light spectrum images was created. The accuracy obtained after testing the recognition model is 99.98%. The precision, specificity, recall and F1 score exceed 0.9955, while the error and the false positive rate are almost zero, following the conducted experiments. The performance of the biometric system has proven to be gratifying.

Paper Citation

in Harvard Style

Negoiţescu A. (2025). Intelligent Human Iris Recognition System Based on Deep Learning Models. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 15-23. DOI: 10.5220/0013037000003890

in Bibtex Style

@conference{icaart25,
author={Andreea Negoiţescu},
title={Intelligent Human Iris Recognition System Based on Deep Learning Models},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={15-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013037000003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Intelligent Human Iris Recognition System Based on Deep Learning Models
SN - 978-989-758-737-5
AU - Negoiţescu A.
PY - 2025
SP - 15
EP - 23
DO - 10.5220/0013037000003890
PB - SciTePress