@inproceedings{b224856a15a84a03a98c6a29c55ab086,
title = "Biometric Iris Authentication Using a Segmentation Network with Attention and a Key-Points Detection Algorithm",
abstract = ". Authorization of an individual within a given system stands as a pivotal element of access control. Hence, in this paper, we propose a system based on biometric features such as the iris of the eye. For this purpose, the user takes a photo of the eye, which is further processed as a graphic image. The first step is the extraction of the iris itself, which is carried out via the U-Net network with the attention module. Then, using the generated mask, the iris is extracted and subjected to comparative analysis. An algorithm for finding key points is used to this end. Depending on the overlapping number of detected features, the system grants or rejects authorization. Both the quality of the segmentation performed and the authorization possibilities in the proposed system were examined.",
keywords = "authorization, feature analysis, iris segmentation, security system, segmentation",
author = "Katarzyna Prokop and Dawid Po̷lap",
year = "2025",
doi = "10.1007/978-3-031-81596-6\_31",
language = "English",
isbn = "9783031815959",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "356--367",
editor = "Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Witold Pedrycz and Zurada, \{Jacek M.\}",
booktitle = "Artificial Intelligence and Soft Computing - 23rd International Conference, ICAISC 2024, Proceedings",
address = "Germany",
note = "23rd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2024 ; Conference date: 16-06-2024 Through 20-06-2024",
}