title: [A method of iris image quality evaluation].
abstract: Iris image quality evaluation plays a very important part in iris computer recognition. An iris image quality evaluation method was introduced into this study to distinguish good image from bad image caused by pupil distortion, blurred boundary, two circles appearing not concentric, and severe occlusion by eyelids and eyelashes. The tests based on this method gave good results.
authors.affiliation: College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhaou 310027, China.
authors.forename: Hamit
authors.initials: H
authors.lastname: Murat
authors.forename: Dawei
authors.initials: D
authors.lastname: Mao
authors.forename: Qinye
authors.initials: Q
authors.lastname: Tong
mesh_terms: D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted; D007498:Iris / Q000033:anatomy & histology*; D010363:Pattern Recognition, Automated / Q000379:methods; D010780:Photogrammetry / Q000379:methods / Q000592:standards