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

@inproceedings{Arsalan2018IrisDenseNetRI,
  title={IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors},
  author={Muhammad Arsalan and Rizwan Ali Naqvi and Dong Seop Kim and Phong Ha Nguyen and Muhammad Owais and Kang Ryoung Park},
  booktitle={Sensors},
  year={2018}
}
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, low resolution, blur, unusual glint, ghost effect, and off-angles. The prevailing segmentation algorithms cannot cope with these constraints. In addition, owing to the unavailability of near… CONTINUE READING

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