Event Website
https://facultyweb.kennesaw.edu/mkarakay/iris2.php
Document Type
Event
Start Date
28-4-2022 5:00 PM
Description
This research paper investigates the use of the Squeezenet Machine Learning Neural Network to identify a subject from off-angle iris images. Squeezenet is a convolutional neural network (CNNs) which contains 50x lesser parameters than Alexnet. It allows the model to be trained on the dataset on devices that have limited resources. The training dataset contains Iris images where the gaze angles are at 0 degrees, while the validation dataset uses off-angle images.
Included in
UR-203 - Subject Identification from Off-Angle Iris Image Using Machine Learning
This research paper investigates the use of the Squeezenet Machine Learning Neural Network to identify a subject from off-angle iris images. Squeezenet is a convolutional neural network (CNNs) which contains 50x lesser parameters than Alexnet. It allows the model to be trained on the dataset on devices that have limited resources. The training dataset contains Iris images where the gaze angles are at 0 degrees, while the validation dataset uses off-angle images.
https://digitalcommons.kennesaw.edu/cday/Spring_2022/Undergraduate_Research/4