An Algorithm of Eyelashes Detection for Iris Recognition

被引：0
|
作者：
Zhu, Wenyao [1 ]
Zhao, Zemao [1 ]
Wu, Yufeng [1 ]
机构：
[1] Lishui Univ, Dept Comp Sci, Lishui 323000, Peoples R China
来源：
INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS | 2016年 / 10卷 / 07期
关键词：
iris recognition; eyelashes; detection; adaption; threshold;
D O I：
10.14257/ijsia.2016.10.7.17
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：195 / 202
页数：8
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