FRED-Net: Fully residual encoder-decoder network for accurate iris segmentation.

Expert Systems with Applications(2019)

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摘要
•Proposed FRED-Net is an end-to-end semantic segmentation network for iris and road scene.•FRED-Net is a standalone network where eyelid, eyelash, and glint detections are not required.•FRED-Net is the result of step-by-step development, whose step is a complete variant network.•FRED-Net uses the residual connectivity for both encoder and decoder.•Our trained FRED-Net models, along with the algorithms, are made publicly available.
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关键词
Iris recognition,Iris segmentation,Full residual encoder–decoder network,Semantic segmentation
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