一般在做的真假臉辨識過程中，常需用到昂貴的儀器(如光譜儀)來做測量以及在測量之後需要較長的資訊演算時間，而基於此缺點，本文提出一量測時不需用到昂貴儀器且演算快速的真假人臉辨識方法。在光源不知的條件下，儀器上，只要以一台CCD感測器加上四個特定波段分別為530nm，568nm，610nm，和690nm的濾波片，測量其讀值，便可以求得分辨之特徵向量[1]-[5]；在演算方面分為兩個階段，第一階段利用皮膚色色票來預測其真人臉位置，而在第二階段為了克服環境光源所造成的誤差，我們加入白色色票的資訊，利用真人臉和皮膚色色票之間的頻譜為辨識基礎，重新修正色票預測真人臉的位置，提升了在分辨真假人臉時的效率。

In the processing of discrimination between real and synthetic human faces, generally, we utilize expensive instrument to do measurement and take a long time to perform mathematical calculations on date measured. Accordingly, we propose an algorithm of discrimination between real and synthetic human faces which reduces the processing time and need not an expensive instrument to do measurement. On the condition of light source unknown, we can obtain a 2-D feature vector constructed by the difference of the response values of four filters with 530nm, 568nm, 610nm, and 690nm on a CCD.[1][2][3][4][5] After that we will regard a 2-D feature vector as input date of processing stream. There are two steps in the processing stream of discrimination. Firstly, we use the skin color of colorchecker to estimate the location of real faces. As a result, for overcoming the error margin that the environment light source causes, we join the information of white colorchecker and make use of the frequency chart of of real human face and the skin color colorchecker in order to recognize foundation, re- revise the color ticket position that predicts true person's face, promoted while distinguishing true or false person's face of efficiency.

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