Iris Recognition System Using Convolutional Neural Network

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dc.contributor.authorSallam, Amer
dc.contributor.authorAl Amery, Hadeel
dc.contributor.authorAl-Qudasi, Somaia
dc.contributor.authorAl-Ghorbani, Safaa
dc.contributor.authorRassem, Taha H.
dc.contributor.authorMakbol, Nasrin M.
dc.date.accessioned2024-09-19T13:27:32Z
dc.date.available2024-09-19T13:27:32Z
dc.date.issued2021-08-24
dc.description.abstractIdentification 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.
dc.funderOther external funder (please detail below)
dc.funder.otherUniversiti Malaysia Pahang through the Research Grant RDU190333 and Ministry of Education Grant No FRGS/1/2018/ICT02/UMP/02/6 (RDU190173).
dc.identifier.citationSallam, A. et al. (2021) Iris Recognition System Using Convolutional Neural Network. 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM)
dc.identifier.doihttps://doi.org/10.1109/icsecs52883.2021.00027
dc.identifier.isbn9781665414074
dc.identifier.urihttps://hdl.handle.net/2086/24223
dc.language.isoen
dc.peerreviewedYes
dc.projectidRDU190333 and FRGS/1/2018/ICT02/UMP/02/6 (RDU190173).
dc.publisherIEEE
dc.researchinstituteInstitute of Digital Research, Communication and Responsible Innovation
dc.titleIris Recognition System Using Convolutional Neural Network
dc.typeConference

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