标题:The Fast Iris Image Clarity Evaluation Based on Tenengrad and ROI Selection
作者:Gao Shuqin; Han Min; Cheng Xu
通讯作者:Han, Min
作者机构:[Gao Shuqin; Han Min; Cheng Xu] Shandong Univ, Sch Informat Sci & Engn, Qingdao 266237, Peoples R China.
会议名称:9th International Conference on Graphic and Image Processing (ICGIP)
会议日期:OCT 14-16, 2017
来源:NINTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2017)
出版年:2018
卷:10615
DOI:10.1117/12.2302509
关键词:Iris recognition; definition evaluation; ROI; Tenengrad
摘要:In iris recognition system, the clarity of iris image is an important factor that influences recognition effect. In the process of recognition, the blurred image may possibly be rejected by the automatic iris recognition system, which will lead to the failure of identification. Therefore it is necessary to evaluate the iris image definition before recognition. Considered the existing evaluation methods on iris image definition, we proposed a fast algorithm to evaluate the definition of iris image in this paper. In our algorithm, firstly ROI (Region of Interest) is extracted based on the reference point which is determined by using the feature of the light spots within the pupil, then Tenengrad operator is used to evaluate the iris image's definition. Experiment results show that, the iris image definition algorithm proposed in this paper could accurately distinguish the iris images of different clarity, and the algorithm has the merit of low computational complexity and more effectiveness.
收录类别:CPCI-S;EI;SCOPUS
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-s2.0-85046427579&doi=10.1117%2f12.2302509&partnerID=40&md5=0beae9eede5a1f721a5a108ca129b61e
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