Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition

@article{Garg2018HeterogeneityAD,
  title={Heterogeneity Aware Deep Embedding for Mobile Periocular Recognition},
  author={Rishabh Garg and Yashasvi Baweja and Soumyadeep Ghosh and Mayank Vatsa and R. Singh and N. Ratha},
  journal={2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)},
  year={2018},
  pages={1-7}
}
Mobile biometric approaches provide the convenience of secure authentication with an omnipresent technology. However, this brings an additional challenge of recognizing biometric patterns in an unconstrained environment including variations in mobile camera sensors, illumination conditions, and capture distance. To address the heterogeneous challenge, this research presents a novel heterogeneity aware loss function within a deep learning framework. The effectiveness of the proposed loss… Expand
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