标题:The Fast Iris Image Clarity Evaluation Based on Brenner
作者:Chen, Liling; Han, Min; Wan, Honglin
通讯作者:Chen, LL
作者机构:[Chen, Liling; Han, Min] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.; [Wan, Honglin] Shandong Normal Univ, Sch Phys & Ele 更多
会议名称:2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA)
会议日期:DEC 23-24, 2013
来源:2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA)
出版年:2013
页码:300-302
关键词:iris; definition; sharpness evaluation; brenner; Region of Interest; (ROI)
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.
收录类别:CPCI-S
WOS核心被引频次:1
资源类型:会议论文
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