Open AccessFeature Extraction Methods for IRIS Recognition System: A Survey
Author(s) -
Tara Othman Qadir,
Nik Shahidah Afifi Taujuddin,
Siraj Khan
Publication year - 2022
Publication title -
international journal of computer science and information technology/international journal of computer science and information technology (chennai. print)
Language(s) - English
Resource type - Journals
eISSN - 0975-4660
pISSN - 0975-3826
DOI - 10.5121/ijcsit.2022.14107
Subject(s) - computer science , iris recognition , identification (biology) , feature extraction , artificial intelligence , focus (optics) , biometrics , feature (linguistics) , workstation , machine learning , pattern recognition (psychology) , data mining , linguistics , philosophy , botany , physics , optics , biology , operating system
Protection has become one of the biggest fields of study for several years, however the demand for this is growing exponentially mostly with rise in sensitive data. The quality of the research can differ slightly from any workstation to cloud, and though protection must be incredibly important all over. Throughout the past two decades, sufficient focus has been given to substantiation along with validation in the technology model. Identifying a legal person is increasingly become the difficult activity with the progression of time. Some attempts are introduced in that same respect, in particular by utilizing human movements such as fingerprints, facial recognition, palm scanning, retinal identification, DNA checking, breathing, speech checker, and so on. A number of methods for effective iris detection have indeed been suggested and researched. A general overview of current and state-of-the-art approaches to iris recognition is presented in this paper. In addition, significant advances in techniques, algorithms, qualified classifiers, datasets and methodologies for the extraction of features are also discussed.