• Corpus ID: 35515626

Performance Evaluation of Iris Region Detection and Localization for Biometric Identification System

@article{Htwe2011PerformanceEO,
  title={Performance Evaluation of Iris Region Detection and Localization for Biometric Identification System},
  author={Chit Su Htwe and Win Htay},
  journal={World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering},
  year={2011},
  volume={5},
  pages={219-222}
}
  • C. Htwe, Win Htay
  • Published 29 March 2011
  • Computer Science
  • World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering
The iris recognition technology is the most accurate, fast and less invasive one compared to other biometric techniques using for example fingerprints, face, retina, hand geometry, voice or signature patterns. The system developed in this study has the potential to play a key role in areas of high-risk security and can enable organizations with means allowing only to the authorized personnel a fast and secure way to gain access to such areas. The paper aim is to perform the iris region… 

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