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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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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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

CLC Number: 

  • 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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