Automatic detection localization method of eye feature

被引：0
|
作者：
Zhang, Chao [1 ]
Lu, Shao-Fang [2 ]
Zhou, Fu-Gen [1 ]
机构：
[1] School of Astronautics, Beihang University, Beijing,100191, China
[2] College of Communication Engineering, Jilin University, Changchun,130022, China
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2015年 / 45卷 / 05期
关键词：
Template matching - Adaptive boosting - Feature extraction - Deformation - Edge detection;
D O I：
10.13229/j.cnki.jdxbgxb201505048
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 extract eye feature accurately, a novel automatic detection localization method of iris and canthus is proposed. First, the face is recognized in a complicated background by using AdaBoost algorithm. Variance integral projection is used to extract eye area. Then, the deformation circular template and the improved optimization matching function are designed to locate the center of the iris and to calculate the iris radius. On this basis, according to the characteristics of the eye structure, both inner and outer canthus direction is calculated using linear template, which is relative to the center of the iris, and then Harris corner detection algorithm is used to set canthus best position along this direction. Finally, this method is validated by IMM face library, and the experimental results show that this method can locate the human iris and inner and outer canthus accurately. ©, 2015, Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition). All right reserved.
引用
收藏
页码：1717 / 1723
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