Biometric Authentication- Person Identification using Iris Recognition


Authors : Ankur Jyoti Sarmah; Gaurab Narayan Dutta; Dakshee Lahkar; Neelotpal Talukdar; Bimrisha Lahkar

Volume/Issue : Volume 7 - 2022, Issue 5 - May

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3mYpFtP

DOI : https://doi.org/10.5281/zenodo.6658785

Biometrics are used to offer person identification by measuring and analyzing people's unique physiological and behavioral characteristics. As demands are increasing on this authentication technique a number of biometric modalities have evolved and used like fingerprint reader, face identifier and iris scanner. The human eye also has features and patterns that are distinctive for recognition. Also, the low-cost equipment for utilizing this technique has made it the most preferable framework in security reasons. As a reliable biometric authentication method, it is considered as the most explicit. In this paper, a standard database namely CASIA v3 is used for taking iris database and different algorithms are used to recognize the targeted areas and the recognition process is performed. The algorithms we used are Morphology binary to remove the unwanted backgrounds; Circular Hough Transform to detect the iris; Gabor's filter to extract features of the human eye and KNN classifier to finally authenticate the query image. The images from the database are acquired and pre-processed before running through the algorithms.

Keywords : IRIS, Gabor’s filter, KNN classifier, CASIA v3, Circular Hough Transform

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