吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1717-1723.doi: 10.13229/j.cnki.jdxbgxb201505048

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眼部特征自动检测定位方法

张超1, 卢韶芳2, 周付根1   

  1. 1.北京航空航天大学 宇航学院,北京 100191;
    2.吉林大学 通信工程学院,长春 130022
  • 收稿日期:2013-11-25 出版日期:2015-09-01 发布日期:2015-09-01
  • 通讯作者: 卢韶芳(1970-),女,副教授,博士.研究方向:生物信息处理及模式识别.E-mail:lusf@jlu.edu.cn
  • 作者简介:张超(1986-）,男,博士研究生.研究方向:图像处理,模式识别.E-mail:zhangchao.101@163.com
  • 基金资助:
    吉林省科技发展计划项目(20090509); 吉林大学基本科研业务费项目

Automatic detection localization method of eye feature

ZHANG Chao1, LU Shao-fang2, ZHOU Fu-gen1   

  1. 1.School of Astronautics, Beihang University, Beijing 100191, China;
    2.College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2013-11-25 Online:2015-09-01 Published:2015-09-01

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摘要： 为了准确地提取眼部特征,提出了一种人眼虹膜检测及眼角定位的新方法。首先用AdaBoost算法在复杂背景下识别人脸,再用方差积分投影方法提取眼睛区域。然后设计了可变形圆形模板,利用可变形圆形模板及改进的优化匹配函数来确定虹膜中心及计算虹膜半径,并在此基础上根据眼睛的结构特征,用设计的线形模板计算内外眼角相对虹膜中心的角度方向,并在该方向下用Harris角点检测算法确定眼角最佳位置。最后,利用IMM人脸库验证了本方法,实验结果表明:本方法可以很好地对面部图像中的人眼虹膜及内外眼角进行准确定位。

关键词: 信息处理技术, 人脸识别, 可变形模板, 虹膜定位, 眼角检测

Abstract: 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.

Key words: information processing technology, face recognition, deformable template, iris location, canthus detection

中图分类号: 

  • TN911
[1] 冯建强,刘文波,于盛林. 基于灰度积分投影的人眼定位[J].计算机仿真,2005, 22(4):75-76. Feng Jian-qiang, Liu Wen-bo, Yu Sheng-lin. Eyes location based on gray-level integration projection[J]. Computer Simulation, 2005, 22(4): 75-76.
[2] Li Xue, He Li-qiang. The implementation of eye location using adaboost and harris algorithm[C]∥2010 International Conference on Management Science and Engineering (MSE2010),Wuhan,China,2010: 462-463.
[3] Zhang Bai-zhen Ruan Qiu-qi. Facial feature extraction using improved deformable templates[C]∥2006 8th International Conference on Signal Processing, Beijing,2006: 4.
[4] 李亚利,王生进,胡斌,等. 基于改进型抛物线Hough变换的眼睛特征提取[J].清华大学学报:自然科学版,2010,50(1):100-103. Li Ya-li, Wang Sheng-jin, Hu Bin, et al. Eye feature extracti on based on modified parabolic Hough transforms[J]. Journal of Tsinghua University (Science and Technology), 2010, 50 (1): 100-103.
[5] Hamouz M, Kittler J, Kamarainen J K, et al. Feature-based affine-invariant localization of faces[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(9): 1490-1495.
[6] Madhuranath H, Babu T R, Subrahmanya S V. Modified Adaboost method for efficient face detection[C]∥2012 12th International Conference on Hybrid Intelligent Systems(HIS), Pune,2012: 415-420.
[7] 史东承,郑超.基于相位的人眼状态检测[J].吉林大学学报:工学版,2013,43(增刊):265-269. Shi Dong-cheng, Zheng Chao. Eye states detection algorithm based on phase information[J]. Journal of Jilin University of Technology(Engineering and Technology Edition), 2013, 43(Sup.): 265-269.
[8] 夏海英,严国萍,王标. 加权方差投影在眼角定位中的应用[J].中国图象图形学报,2011,16 (2):273-277. Xia Hai-ying, Yan Guo-ping, Wang Biao. Weighted variance projection for eye corner location[J]. Journal of Image and Graphics, 2011, 16(2): 273-277.
[9] Das A, Ghoshal D. Human eye detection of color images based on morphological segmentation using modified harris comer detector[C]∥2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM),Chennai,2012: 143-147.
[10] Jesorsky O, Kirchberg K J, Frishchholz R. Robust face detection using the Hausdorff distance[C]∥Proceedings of the Thrid Internation Conference on Audio and Video based Biometric Person Authentication,Halmstad,Sweden,2001: 90-95.
[11] Wildes R P. Iris recognition: An emerging biometric technology[J]. Proceedings of the IEEE, 1997, 85(9): 1348-1363.
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