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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    Titel :

    Research of Vector Quantization Algorithm in Face Recognition System


    Weitere Titelangaben:

    Adv.Intel.,Soft Computing


    Beteiligte:
    Xie, Anne (Herausgeber:in) / Huang, Xiong (Herausgeber:in) / Li, JingJiao (Autor:in) / Li, Haipeng (Autor:in) / Wang, Aixia (Autor:in) / Yan, Aiyun (Autor:in) / An, Dong (Autor:in)


    Erscheinungsdatum :

    2012-01-01


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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