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Biomimetic Pattern Face Recognition Based on DCT and LDA

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Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7004))

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Abstract

A new method of Biomimetic pattern face recognition theory based on DCT and LDA Transform is proposed. This method has solved the problem of the low recognition rate and the excessively high dimension problem. The features of human face on the training samples are extracted through DCT and LDA, mapping them into the high-dimensional space through Kernel function, and then use it to construct the cover region of each kind of sample. The person face is distinguished through the judgment that the person face characteristics belong to which kind of cover region or don’t belong to any region. The experiment on the Yale and ORL face database demonstrated the efficiency and the feasibility of our algorithm.

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References

  1. Sirovich, L., Kirby, M.: Application of Karhunen-Loeve procedure for the characterization of human faces. IEEE Trans Pattern Analysis and Machine Intelligence 3, 71–79 (1990)

    Google Scholar 

  2. Belhumeur, P.N., Hespanha, J.P.: Eigenfaces vs Fisher-faces: recognition using class specific linear projection. IEEE Trans Pattern Analysis and Machine Intelligence 19, 711–720 (1997)

    Article  Google Scholar 

  3. Wang, S.-J., Chen, X.: Biomimetic Pattern Recognition-A new Model of Pattern Recognition Theory and Its Application. IEEE Trans Pattern Analysis and Machine Intelligence. 3, 2258–2262 (2003)

    Google Scholar 

  4. Wang, S.-J.: Analysis and Theory of High Dimension Space Geometry for Artificial Neural Networks. Journal of Electronic 30, 1–4 (2002)

    Google Scholar 

  5. Wang, S.-J.: Face Recognition: Biomimetic Pattern Recognition vs. Traditional Pattern Recognition. Journal of Electronic, 1057–1060 (2004)

    Google Scholar 

  6. Samir, A., Amine, S.M., Chahir, Y.: Face Recognition Using PCA and DCT. In: 2009 IEEE Fifth International Conference on MEMS NANO, and Smart Systems, pp. 15–19 (2009)

    Google Scholar 

  7. Yin, H.-T., Fu, P.: Face Recognition Based on DCT and LDA. Journal of Electronic 10, 2211–2214 (2009)

    Google Scholar 

  8. Ju, S.-G., Zhou, J.-L.: Face recognition based on bionic pattern. Journal of Sichuan University 45, 65–70 (2008)

    Google Scholar 

  9. Zhang, Y.-K., Liu, C.-Q.: A Novel Face Recognition Method Based on LDA. Journal of Infrared Millim 22, 327–330 (2003)

    Google Scholar 

  10. Azam, M.: Discrete Cosine Transform Based Face Recognition in Hexagonal Images. IEEE Trans. Pattern Analysis and Machine Intelligence, 474 –479 (2010)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China

    Jing Shao, Jia-fu Jiang & Xiao-wei Liu

Authors
  1. Jing Shao
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  2. Jia-fu Jiang
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  3. Xiao-wei Liu
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Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, VIC, Australia

    Hepu Deng

  2. School of Electronics and Information, Tongji University, 201804, Shanghai, China

    Duoqian Miao

  3. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  4. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Shao, J., Jiang, Jf., Liu, Xw. (2011). Biomimetic Pattern Face Recognition Based on DCT and LDA. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23896-3_20

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  • DOI: https://doi.org/10.1007/978-3-642-23896-3_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23895-6

  • Online ISBN: 978-3-642-23896-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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