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논문검색

Iris Matching Using SURF Algorithm

원문정보

Rana Saad Mohammed, Nada Jasim Habeeb, Ziad Mohammed Abood

보안공학연구지원센터(IJSIP) International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.12 2016.12 pp.91-102
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초록

영어

Iris recognition is one of biometric techniques that provide fast and accurate for human identification. This paper studies four main types of iris (Jewel, flower, stream, and shaker). And also it studies a fast method using Speed Up Robust Features algorithm (SURF) for finding a match between original eye image and input eye image to the system with taking into account the speed of algorithm implementation and its compatibility with an iris scanner.

목차

Abstract
 1. Introduction
 2. Matching with Correlation
 3. System Overview
 4. Experimental Results
 5. Conclusion
 References

키워드

저자정보

  • Rana Saad Mohammed Computer Science Department, Education Collage, Al-Mustansiriyah University, Baghdad, Iraq
  • Nada Jasim Habeeb Technical College of Management Collage, Middle Technical University, Baghdad, Iraq
  • Ziad Mohammed Abood Physics Department, Education Collage, Al-Mustansiriyah University, Baghdad, Iraq

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자료제공 : 네이버학술정보

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