Gender Classification From the Same Iris Code Used for Recognition

@article{Tapia2016GenderCF,
  title={Gender Classification From the Same Iris Code Used for Recognition},
  author={Juan E. Tapia and C. Perez and K. Bowyer},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2016},
  volume={11},
  pages={1760-1770}
}
  • Juan E. Tapia, C. Perez, K. Bowyer
  • Published 2016
  • Computer Science
  • IEEE Transactions on Information Forensics and Security
  • Previous researchers have explored various approaches for predicting the gender of a person based on the features of the iris texture. This paper is the first to predict gender directly from the same binary iris code that could be used for recognition. We found that the information for gender prediction is distributed across the iris, rather than localized in particular concentric bands. We also found that using selected features representing a subset of the iris region achieves better accuracy… CONTINUE READING
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