ConvSRC: SmartPhone based Periocular Recognition using Deep Convolutional Neural Network and Sparsity Augmented Collaborative Representation

@article{Alahmadi2018ConvSRCSB,
  title={ConvSRC: SmartPhone based Periocular Recognition using Deep Convolutional Neural Network and Sparsity Augmented Collaborative Representation},
  author={Amani A. Alahmadi and Hatim A. Aboalsamh and Mansour Zuair},
  journal={CoRR},
  year={2018},
  volume={abs/1801.05449}
}
Smartphone based periocular recognition has gained significant attention from biometric research community because of the limitations of biometric modalities like face, iris etc. Most of the existing methods for periocular recognition employ hand-crafted features. Recently, learning based image representation techniques like deep Convolutional Neural Network (CNN) have shown outstanding performance in many visual recognition tasks. CNN needs a huge volume of data for its learning, but for… CONTINUE READING
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Key Quantitative Results

  • The obtained results show the superiority of ConvSRC over the state-of-the-art methods; it obtains a GMR of more than 99% at FMR = 10 and outperforms the first winner of ICIP2016 challenge by 10%.

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