Deep Learning Based Iris Recognition System
Puja Sahay Prasad · Helix · 2018
The main focus on this paper is to use multiple instance of a single biometric traits that integrates the left and right iris of a person for authentication.Deep structured learning or we say trained deep learning approach is proposed whose architectural design is based on the combination of and Softmax classifier and Convolutional Neural Network (CNN) for the extraction of distinct floral features from the input iris images.In this work, for learning rate adaptation and weights updating a selective training scheme of CNN that is based on a combination of mini-batch Ada Grad optimization method and backpropagation algorithm and is being proposed.Two databases are used for evaluating performance of this proposed system.The results outputted from the work of this proposed system outperform achieved an identification rate Rank-1 of 99.8% on all the corresponding different databases that is used here as well as recognition time is also reduces.