Earticle

초록

영어

Bovine iris recognition technology plays a very important role in meat food traceability system about large-scale livestock individual identification. In order to improve the precision and speed of bovine iris location, iris inner and outer edge location method based on dynamic contour tracking and least square principle ellipse fitting were respectively proposed in the paper, according to the characteristics of bovine iris image. For iris inner edge location, firstly, the pupil centroid was determined, and pupil sub-image was separated from eye image, then, using dynamic contour tracking method based on the non-initialized level set model to track the boundary of pupil, and got iris inner boundary. For iris outer edge location, noise reducing template was determined by pupil sub-image, which combined with mathematical morphology operators to further suppress random noise, so, ideal outer edge detection curve was obtained. Finally, it got iris outer edge of ellipse fitting based on least squares principle. Experimental results shown that this method was less running time, high location accuracy, it has a certain practicality in large-scale livestock meat food traceability.

목차

Abstract
 1. Introduction
 2. Bovine Iris Location Algorithm
  2.1. Pupil Center Detection
  2.2. The Location of Iris Inner Edge
  2.3. Bovine Iris Outer Edge Location
 3. Experimental Results and Analysis
 4. Conclusion
 Acknowledgments
 References

키워드

저자

• Zhongliang Luo [ School of Information Science and Engineering, Shaoguan University, Shaoguan 512005, China ]
• Yingbiao Jia [ School of Information Science and Engineering, Shaoguan University, Shaoguan 512005, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605