Earticle

초록

영어

Removing speckles is a key step for accurate pupil location in an iris recognition system. This paper proposed an algorithm to detect speckles in pupil area based on 2D Gabor filters first. Then the speckles were replaced selectively with the average intensity of a fixed square region. Finally, a novel evaluation index was introduced, which improved the pupil location accuracy rate of our former pupil location algorithm. In the widely used CASIA v3.0 iris database, the pupil location accuracy rate was improved from 97.44% to 99.55%. And in several other commonly used iris test databases with less or without speckles, this method maintained the former location accuracy. The experimental results show that our algorithm has satisfactory performance, robustness and versatility.

목차

Abstract
 1. Introduction
 2. 2D Gabor Filter
 3. Finding and Removing the Speckles in Pupil Area using 2D GaborFilters
 4. Pupil Location After Removing Speckles
 5. Experimental Results and Discussion
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Chunxian Song [ College of Computer and Information Technology, China Three Gorges University ]
• Guangzhu Xu [ College of Computer and Information Technology, China Three Gorges University ] Corresponding author
• Chunlin Li [ College of Computer and Information Technology, China Three Gorges University ]
• Jing Jing [ College of Computer and Information Technology, China Three Gorges University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605