Iris Recognition System Using Convolutional Neural Network

Authors: Sallam, A., Amery, H.A., Al-Qudasi, S., Al-Ghorbani, S., Rassem, T.H. and Makbol, N.M.

Journal: Proceedings - 2021 International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management, ICSECS-ICOCSIM 2021

Pages: 109-114

ISBN: 9781665414074

DOI: 10.1109/ICSECS52883.2021.00027

Abstract:

Identification system is one of the important parts in security domains of the present time. The traditional protection methods considered to be inefficient and unreliable as they are subjected to the theft, imitation or forgetfulness. In contrast, biometrics such as facial recognition, fingerprints and the retina have emerged as modern protection methods, but still also suffer from some defects and violations. However, Iris recognition is an automated method that considered as a promising biometric identification due to the stability and the uniqueness of its patterns. In this paper, an iris recognition system based on Convolutional Neural Network (CNN) model was proposed. CNN is used to perform the required processes of feature extraction and classification. The proposed system was evaluated through CASIA-V1 and ATVS datasets, after the required pre-processing steps taken place, and achieved 98% and 97.83% as a result, respectively.

https://eprints.bournemouth.ac.uk/37436/

Source: Scopus