Title :
A Survey of Point-Source Specular Reflections in Noisy Iris Images
Author :
McConnon, G. ; Deravi, F. ; Hoque, S. ; Sirlantzis, K. ; Howells, G.
Author_Institution :
Sch. of Eng. & Digital Arts, Univ. of Kent, Canterbury, UK
Abstract :
This paper presents an examination of a selection of images taken from the UBIRIS.v2 dataset to explore the characteristics of point-source reflections present in the images. These reflections were some of the most commonly found sources of noise in iris images acquired under visual wavelength light and clearly impact the accuracy of iris recognition systems. The spatial and intensity distributions of these reflections is studied and results are presented that can be used to model their behaviour. This information can be helpful for developing more accurate iris synthesis techniques and for the study of iris image focus assessment as well as developing better matching algorithms for iris recognition.
Keywords :
image matching; iris recognition; intensity distribution; iris image focus assessment; iris matching algorithms; iris recognition; iris synthesis techniques; noisy iris images; point-source specular reflection; spatial distribution; visual wavelength light; Image segmentation; Iris; Iris recognition; Noise; Noise measurement; Pixel; Reflection; Image Quality; Iris Recognition; UBIRIS;
Conference_Titel :
Emerging Security Technologies (EST), 2010 International Conference on
Conference_Location :
Canterbury
Print_ISBN :
978-1-4244-7845-3
Electronic_ISBN :
978-0-7695-4175-4
DOI :
10.1109/EST.2010.33