淡江大學機構典藏:Item 987654321/81385
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/81385


    Title: A Robust and Efficient Face Recognition System based on Luminance Distribution using Maximum Likelihood
    Authors: Hsieh, Ching-Tang;Hu, Chia-Shing
    Contributors: 淡江大學電機工程學系暨研究所
    Keywords: Face Recognition, Maximum Likelihood.
    Date: 2012-11
    Issue Date: 2013-03-11 15:21:39 (UTC+8)
    Abstract: In this paper, a robust and efficient face recognition system based on luminance distribution by using maximum likelihood estimation is proposed. The distribution of luminance components of the face region is acquired and applied to maximum likelihood test for face matching. The experimental results showed that the proposed method has a high recognition rate and requires less computation time.
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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