IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors

IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors

The recent advancements in computer vision have opened new horizons for deploying biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition is now much needed in unconstraint scenarios with accuracy. These environments make the acquired iris image exhibit occlusion...

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Bibliographic Details
Main Authors: Muhammad Arsalan, Rizwan Ali Naqvi, Dong Seop Kim, Phong Ha Nguyen, Muhammad Owais, Kang Ryoung Park
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Sensors
Subjects:
iris recognition
iris segmentation
semantic segmentation
convolutional neural network (CNN)
visible light and near-infrared light camera sensors
Online Access:http://www.mdpi.com/1424-8220/18/5/1501

Internet

http://www.mdpi.com/1424-8220/18/5/1501

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