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About End-To-End Iris Segmentation Using U-Net: Ju S Lozej, Bla Z Meden, Vitomir Struc, Peter Peer
This document presents research on using a U-Net convolutional neural network model for end-to-end iris segmentation. The U-Net model is trained on manually annotated iris image data from the CASIA dataset. Experimental results show that the U-Net model achieves highly accurate iris segmentation that outperforms previous hand-crafted approaches, demonstrating the potential of deep learning for iris segmentation tasks.
Detailed Information
| Author: | ['Jamil Al-idrus'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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