Open AccessRecognition, Classification for Normal, Contact and Cosmetic Iris Images using Deep Learning
Author(s) -
S. Sophia,
V.Ceronmani Sharmila
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5185.098319
Subject(s) - artificial intelligence , iris recognition , computer science , identification (biology) , pattern recognition (psychology) , iris (biosensor) , deep learning , process (computing) , feature extraction , computer vision , machine learning , biometrics , botany , biology , operating system
The identification of the human being using iris based on image processing technique was one of better and older approach in human identification. Then to make human identification process an intelligent one using intelligent algorithms using machine learning techniques to train input images, extract features and classify the features based on classification techniques. The recent technology is enhancing for iris recognition based on deep learning networks, in which deeply train the images with number of layers, so that necessary features are extracted and then classify it and measure various parameters.