This thesis proposes a face recognition algorithm based on vector quantization. It precisely introduces the algorithm of vector quantization and implements the face recognition system on PC based on vector quantization algorithm. The face eigenvalue is extracted and vector quantified, and the results are regarded as the training data for Hidden Markov Model. The training target is the Hidden Markov Model. Experiments prove that this algorithm increases the speed of multiple images recognition.


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    Title :

    Research of Vector Quantization Algorithm in Face Recognition System


    Additional title:

    Adv.Intel.,Soft Computing


    Contributors:
    Xie, Anne (editor) / Huang, Xiong (editor) / Li, JingJiao (author) / Li, Haipeng (author) / Wang, Aixia (author) / Yan, Aiyun (author) / An, Dong (author)


    Publication date :

    2012-01-01


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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