DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-9,Issue-11 ( Nov, 2021 ) | |||||||||
Paper Title |
A CNN Way of IRIS Recognition using AlexNet | |||||||||
Author Name |
Vıshalakshı Rıturaj, Shyam Krıshna Sıngh | |||||||||
Affilition |
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Pages |
17-21 | |||||||||
Abstract |
Abstract - It is very obvious and natural to identify a person on the basis of his/her biological trait and we do it since our birth. But now, we came to know how our brain does this activity. Iris has always been one of the most precious, trusted and accurate means of recognition due to its unique and ageless features. Traditional approach of iris recognition system had to face a lot of problems in image capturing, pre-processing and extracting features. But now, Artificial Intelligence is the new boss and it has brought a revolution by introducing Convolutional Neural network, which possesses a resemblance to the human brain. This paper has made use of a pre-trained model of CNN, namely AlexNet, for feature extraction, which automatically extracts a huge matrix of features. These features were passed in SVM (Support Vector Machine) classification to classify images among the correct classes. I have preferred to use iris database obtained from IITD to conduct the research. Keywords - Support Vector Machine (SVM), Convolutional Neural Network (CNN), Biometrics, Feature extraction, Recognition, Classification | |||||||||
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