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
Abstract :
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
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
