Author
Asela Gunesekera
Bio: Asela Gunesekera is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Iris recognition & Biometrics. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.
Topics: Iris recognition, Biometrics
Papers
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05 Jul 2019TL;DR: This work proposes an effective biometric recognition system for iris templates based on XOR function, while protecting the privacy of iris template as well as above requirements by following feature transformation techniques.
Abstract: The patterns of the structure of the irises are differed and unique to every single person. Any biometric authentication approach should consist of three requirements. They are non-invertibility, non-linkability, and revocability. By following feature transformation techniques, we propose an effective biometric recognition system for iris templates based on XOR function, while protecting the privacy of iris templates as well as above requirements. Compared to the other existing works, the recognition performances of the proposed approach are satisfactory. The final results of the research are fairly positive. The study opens for future enhancements.
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