标题:The fast iris image clarity evaluation based on Brenner
作者:Chen, Liling ;Han, Min ;Wan, Honglin
作者机构:[Chen, Liling ;Han, Min ] School of Information Science and Engineering, Shandong University, Jinan, China;[Wan, Honglin ] School of Physics and Elect 更多
会议名称:2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2013
会议日期:23 December 2013 through 24 December 2013
来源:Proceedings - 2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2013
出版年:2013
页码:300-302
DOI:10.1109/IMSNA.2013.6743274
关键词:Brenner; Definition; Iris; Region of Interest (ROI); Sharpness evaluation
摘要:In iris biometric system, iris images with poor quality possibly lead to poor performance in personal identification or recognition. To address the issue we propose the fast evaluation method for iris quality by sharpness in this paper. In our method, ROI (Region of Interests) is located firstly and then Brenner operator is utilized to evaluate quality of iris images. Experimental results reveal that our proposal has less computation load and high processing speed than compared methods. So it is necessary to evaluate the iris image quality before recognition, and sharpness evaluation is one important part of it. As some previous algorithms used the method of locating first then extracting the region of interest takes more time, this paper proposes a faster approach to evaluate the definition of iris image. First extract the region of interest (ROI) based on experience, then use brenner operator to evaluate the iris image's definition. Experimental results reveal that our proposal has the characteristics of less calculation, high velocity and more effectiveness. © 2013 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898436349&doi=10.1109%2fIMSNA.2013.6743274&partnerID=40&md5=eeb6a9f77117aacba7f35383e82f55ca
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