Iris Segmentation
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Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework
In this paper, we propose a deep multi-task learning framework, named as IrisParseNet, to exploit the inherent correlations between pupil, iris and sclera to boost up the performance of iris segmentation and localization in a unified model.
Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks
• CVRL/iris-recognition-OTS-DNN
This paper offers three new, open-source, deep learning-based iris segmentation methods, and the methodology how to use irregular segmentation masks in a conventional Gabor-wavelet-based iris recognition.
The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments
• thanhkien84/opensourse-iris-recognition
The use of iris as a biometric trait is widely used because of its high level of distinction and uniqueness.
DATA AUGMENTATION IRIS RECOGNITION IRIS SEGMENTATION TRANSFER LEARNING
A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks
To attain accurate and efficient FCN models, we propose a three-step SW/HW co-design methodology consisting of FCN architectural exploration, precision quantization, and hardware acceleration.
Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples
Subject matching performance in iris biometrics is contingent upon fast, high-quality iris segmentation.