文章基本信息

标题：An Algorithm of Eyelashes Detection for Iris Recognition
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作者：Wenyao Zhu ; Zemao Zhao ; Yufeng Wu 等
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：7
页码：195-202
DOI：10.14257/ijsia.2016.10.7.17
出版社：SERSC
摘要：In order to reduce the eyelash influencing on iris recognition rate, an eyelashes detection algorithm is proposed based on adaptive threshold. Based on the iris localization, gray morphological operation is used to accurately localize eyelids. According to the gray distribution of the parabolic pixel point after the upper eyelid parabolic moving down, the adaptive threshold is used to segment the eyelashes. The experimental results show that compared with the traditional eyelash detection algorithm, it is not necessary for the algorithm to set up more parameters, which embodies the simplicity to maximize the results of eyelash segmentation.
关键词：iris recognition; eyelashes; detection; adaption; threshold