Journal of Automation and Control
ISSN (Print): 2372-3033 ISSN (Online): 2372-3041 Website: http://www.sciepub.com/journal/automation Editor-in-chief: Santosh Nanda
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Journal of Automation and Control. 2014, 2(1), 33-38
DOI: 10.12691/automation-2-1-5
Open AccessArticle

Iris Verification and ANOVA for Iris Image Quality

Lidong Wang1,

1Department of Engineering Technology, Mississippi Valley State University, Itta Bena, USA

Pub. Date: March 04, 2014

Cite this paper:
Lidong Wang. Iris Verification and ANOVA for Iris Image Quality. Journal of Automation and Control. 2014; 2(1):33-38. doi: 10.12691/automation-2-1-5

Abstract

Iris recognition has been acknowledged as the most accurate method in biometrics that is one of main automated identification technologies. The iris image quality and iris verification of eyes in dark brown, regular brown, hazel, green, and blue was tested. The effects of eyeglasses and contact lenses on the iris image quality score and iris verification were investigated, respectively. The investigated results indicate that the iris verifications with eyeglasses or contact lenses can still be successful although both eyeglasses and contact lenses decrease iris image quality. Analysis of variance (ANOVA) for the iris image quality of three eye colors (dark brown, hazel, and blue) was conducted to study the difference in the image quality due to the eye colors. The ANOVA results show there is no significant difference in the iris image quality of eyes in dark brown, hazel, and blue at the 0.05 level of significance.

Keywords:
iris image quality iris verification biometrics automated identification ANOVA level of significance

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