Earticle

초록

영어

The UBIRIS.v2 dataset is a set of noisy colour iris images designed to simulate visible wavelength iris acquisition at-a-distance and on-the-move. This paper presents an examination of some of the characteristics that can impact the performance of iris recognition in the UBIRIS.v2 dataset. This dataset consists of iris images in the visible wavelength and was designed to be noisy. The quality and characteristics of these images are surveyed by examining seven different channels of information extracted from them: red, green, blue, intensity, value, lightness, and luminance. We present new quality metrics to assess the image characteristics with regard to focus, entropy, reflections, pupil constriction and pupillary boundary contrast. The results clearly suggest the existence of different characteristics for these channels and could be exploited for use in the design and evaluation of iris recognition systems.

목차

Abstract
 1. Introduction
 2. Channels and Quality Metrics
  2.1. Intensity channels
  2.2. Focus
  2.3. Point-source reflections
  2.4. Entropy
  2.5. Iris and Pupil Dimensions
  2.6. Pupillary Boundary Contrast
 3. Implementation
 4. Results
  4.1. Global Focus Scores
  4.2. Local point-source Reflection
  4.3. Entropy
  4.4. Iris and Pupil Dimensions
  4.5. Pupillary Boundary Contrast
 5. Conclusions
 References

키워드

저자

• G. McConnon [ School of Engineering and Digital Arts, University of Kent,Canterbury, UK ]
• F. Deravi [ School of Engineering and Digital Arts, University of Kent,Canterbury, UK ]
• Hoque, K. Sirlantzis [ School of Engineering and Digital Arts, University of Kent,Canterbury, UK ]
• G. Howells [ School of Engineering and Digital Arts, University of Kent,Canterbury, UK ]

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