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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2010  >  39(2): 247-250,231

GAN Ling, ZHU Jiang, MIAO Dong. Application of the Expansion Haar Features in Eye Detection[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 247-250,231. doi: 10.3969/j.issn.1001-0548.2010.02.020
Citation: GAN Ling, ZHU Jiang, MIAO Dong. Application of the Expansion Haar Features in Eye Detection[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 247-250,231. doi: 10.3969/j.issn.1001-0548.2010.02.020
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Application of the Expansion Haar Features in Eye Detection

doi: 10.3969/j.issn.1001-0548.2010.02.020
  • 1.

    School of Computer Science and Technology,Chongqing University of Posts&Telecommunications Nanan Chongqing 400065;

  • 2.

    Sichuan Jiuzhou Electric Group Co.,Ltd. Mianyang Sichuan 621000

  • Received Date: 2008-09-10
  • Rev Recd Date: 2009-03-26
  • Publish Date: 2010-04-15
  • Eye detection plays a very important role in the face recognition. This paper expands a Haar features by using Adaboost algorithm to accurately detect the eye. By combining an extremely efficient classifier based on Adaboost algorithm, the wide outlines of eye and eyebrow are detected, and then the templates of these wide doutlines are formed. Finally, these templates are used to match the pictures with eyes and eyebrow. Result shows that the wrong judgement due to the similitude of the eyes and eyebrow can be avoided.
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  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Application of the Expansion Haar Features in Eye Detection

doi: 10.3969/j.issn.1001-0548.2010.02.020
  • 1. School of Computer Science and Technology,Chongqing University of Posts&Telecommunications Nanan Chongqing 400065;
  • 2. Sichuan Jiuzhou Electric Group Co.,Ltd. Mianyang Sichuan 621000
  • Received Date: 2008-09-10
  • Rev Recd Date: 2009-03-26
  • Publish Date: 2010-04-15

Abstract: Eye detection plays a very important role in the face recognition. This paper expands a Haar features by using Adaboost algorithm to accurately detect the eye. By combining an extremely efficient classifier based on Adaboost algorithm, the wide outlines of eye and eyebrow are detected, and then the templates of these wide doutlines are formed. Finally, these templates are used to match the pictures with eyes and eyebrow. Result shows that the wrong judgement due to the similitude of the eyes and eyebrow can be avoided.

GAN Ling, ZHU Jiang, MIAO Dong. Application of the Expansion Haar Features in Eye Detection[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 247-250,231. doi: 10.3969/j.issn.1001-0548.2010.02.020
Citation: GAN Ling, ZHU Jiang, MIAO Dong. Application of the Expansion Haar Features in Eye Detection[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 247-250,231. doi: 10.3969/j.issn.1001-0548.2010.02.020
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