Software framework for an ocular biometric system

@article{Holland2014SoftwareFF,
  title={Software framework for an ocular biometric system},
  author={Corey Holland and Oleg V. Komogortsev},
  journal={Proceedings of the Symposium on Eye Tracking Research and Applications},
  year={2014}
}
This document describes the software framework of an ocular biometric system. The framework encompasses several interconnected components that allow an end-user to perform biometric enrollment, verification, and identification with most common eye tracking devices. The framework, written in C#, includes multiple state-of-the-art biometric algorithms and information fusion techniques, and can be easily extended to utilize new biometric techniques and eye tracking devices. 
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Biometric authentication via complex oculomotor behavior

  • Oleg V. KomogortsevC. Holland
  • Computer Science
    2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
  • 2013
An objective evaluation of previously unexplored biometric techniques utilizing patterns identifiable in complex oculomotor behavior to distinguish individuals suggests that it is possible to obtain equal error rates and rank-1 identification rates using score-level fusion by likelihood ratio.