An Evaluation of Image Sampling and Compression for Human Iris Recognition

  title={An Evaluation of Image Sampling and Compression for Human Iris Recognition},
  author={Soumyadip Rakshit and Donald M. Monro},
  journal={IEEE Transactions on Information Forensics and Security},
The resilience of identity verification systems to subsampling and compression of human iris images is investigated for three high-performance iris-matching algorithms. For evaluation, 2156 images from 308 irises from the extended Chinese Academy of Sciences Institute of Automation database were mapped into a rectangular format with 512 pixels circumferentially and 80 radially. For identity verification, the 48 rows that were closest to the pupil were taken and images were resized by… CONTINUE READING
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