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INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERINGInternational Peer Reviewed (Refereed), Open Access Research Journal (By Aryavart International University, India) E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015 Impact Factor(2023): 5.941 | Impact Factor(2024): 6.230 |
Deeya Tangri
Vol. 5, Issue 1, Jan-Dec 2019
Page Number: 207 - 214
Abstract:
Facial shape, hand shape, fingerprint, iris, voice are widely used in biometric devices for human identity detection. Iris recognition is commonly used in security verification and is considered more accurate than other biometric techniques. This research mainly focuses on analyzing eye disease, which will create a problem for iris recognition. Iris images were taken when treating eye infection, and the output shows the numerical contrast from the treatment. To extract the features of the iris, we use the Gabor filter to remove the elements. This iris recognization was viably withstood with most ophthalmic sickness like corneal oedema, iridotomies and conjunctivitis. This proposed iris algorithm should be implemented to tackle the likely issues that could cause by key biometric innovation and medical diagnosis.
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