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DWT based HMM for face recognition

  • Published:
Journal of Electronics (China)

Abstract

A novel Discrete Wavelet Transform (DWT) based Hidden Markov Module (HMM) for face recognition is presented in this letter. To improve the accuracy of HMM based face recognition algorithm, DWT is used to replace Discrete Cosine Transform (DCT) for observation sequence extraction. Extensive experiments are conducted on two public databases and the results show that the proposed method can improve the accuracy significantly, especially when the face database is large and only few training images are available.

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Authors and Affiliations

  1. TI DSPs Lab, Faculty of Information Engineering, Shenzhen University, Shenzhen, 518060, China

    Shen Linlin & Ji Zhen

  2. School of Computer Science & Information Technology, University of Nottingham, NG8 1BB, UK

    Bai Li

  3. Institute of Intelligent Computing Science, Shenzhen University, Shenzhen, 518060, China

    Xu Chen

Authors
  1. Shen Linlin
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  2. Ji Zhen
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  3. Bai Li
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  4. Xu Chen
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Corresponding author

Correspondence to Shen Linlin.

Additional information

Supported by SZU R/D Fund 200746, the National Natural Science Foundation of China (No. 60572100), Royal Society (U.K.) International Joint Projects 2006/R3-Cost Share with NSFC, Foundation of State Key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications, China) and Guangdong Natural Science Foundation (No.06105776).

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Cite this article

Shen, L., Ji, Z., Bai, L. et al. DWT based HMM for face recognition. J. Electron.(China) 24, 835–837 (2007). https://doi.org/10.1007/s11767-007-0028-x

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  • DOI: https://doi.org/10.1007/s11767-007-0028-x

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