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Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
Published on: November 17, 2016
[A method of iris image quality evaluation]
Hamit Murat1, Dawei Mao, Qinye Tong
1College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhaou 310027, China.
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.

