Robust iris segmentation algorithm in non-cooperative environments using interleaved residual u-net

HIGHLIGHTS

  • who: Yung-Hui Li and collaborators from the Department of Computer Science and Information Engineering, National Central University, Department of Electronic Engineering, Tsinghua University, Beijing, China have published the research work: Robust Iris Segmentation Algorithm in Non-Cooperative Environments Using Interleaved Residual U-Net, in the Journal: Sensors 2021, 21, 1434. of /2021/
  • what: The authors propose a neural network model called "Interleaved Residual U-Net" (IRUNet) for semantic segmentation and mask synthesis. The authors attempt to address this problem. The authors propose a multistage algorithm, which consists of deep learning and saliency points selection . . .

     

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