Science and Education Publishing Journal of Automation and Control 2 1 2014 03 04 Iris Verification and ANOVA for Iris Image Quality 33 38 EN Lidong Wang Department of Engineering Technology, Mississippi Valley State University, Itta Bena, USA AUTOMATION2014215 10.12691/automation-2-1-5 2013 11 27 2014 02 27 2014 03 04 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.