Approximate computing for biometrie security systems: A case study on iris scanning

@article{Hashemi2018ApproximateCF,
  title={Approximate computing for biometrie security systems: A case study on iris scanning},
  author={S. Hashemi and Hokchhay Tann and Francesco Buttafuoco and S. Reda},
  journal={2018 Design, Automation \& Test in Europe Conference \& Exhibition (DATE)},
  year={2018},
  pages={319-324}
}
Exploiting the error resilience of emerging data-rich applications, approximate computing promotes the introduction of small amount of inaccuracy into computing systems to achieve significant reduction in computing resources such as power, design area, runtime or energy. Successful applications for approximate computing have been demonstrated in the areas of machine learning, image processing and computer vision. In this paper we make the case for a new direction for approximate computing in… Expand
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