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Design and Realizing of Face Recognition Algorithm

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Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 105))

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Abstract

Structure and properties of fuzzy ART were described. Choice and match function were presented. In order to extracted face feature, low pass filter, cutting minimum intensity and generating vector histogram were used. Fuzzy ART used the vector histogram as the original input vector data to recognize face feature. when the fuzzy ART network parameters were selected properly, simulation experiments showed that maximum online recognition rate was 90.3% and offline recognition rate was nearly 100%.

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References

  1. Li, W.-J., et al.: A Survey of Face Recognition. Pattern Recognition and Artificial Intelligence 19, 58 (2006)

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Author information

Authors and Affiliations

  1. Dept. of Software Engineering, ShenZhen Polytechnic, ShenZhen, 518055, China

    Ming Gu

Authors
  1. Ming Gu
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Editor information

Editors and Affiliations

  1. Wuhan Section Special No.1, International Science & Education Researcher Association, Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

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© 2011 Springer-Verlag Berlin Heidelberg

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Gu, M. (2011). Design and Realizing of Face Recognition Algorithm. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_43

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  • DOI: https://doi.org/10.1007/978-3-642-23756-0_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23755-3

  • Online ISBN: 978-3-642-23756-0

  • eBook Packages: EngineeringEngineering (R0)

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