Recognition Oriented Iris Image Quality Assessment in the Feature Space

@article{Wang2020RecognitionOI,
  title={Recognition Oriented Iris Image Quality Assessment in the Feature Space},
  author={Leyuan Wang and Kunbo Zhang and Min Ren and Yunlong Wang and Zhenan Sun},
  journal={2020 IEEE International Joint Conference on Biometrics (IJCB)},
  year={2020},
  pages={1-9}
}
A large portion of iris images captured in real world scenarios are poor quality due to the uncontrolled environment and the non-cooperative subject. To ensure that the recognition algorithm is not affected by low-quality images, traditional hand-crafted factors based methods discard most images, which will cause system timeout and disrupt user experience. In this paper, we propose a recognition-oriented quality metric and assessment method for iris image to deal with the problem. The method… 

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