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《Computer Engineering》 1992-01
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RECOGNIZING A TYPICAL HUMAN FACE FROM THE FRONT SIDE

Zheng Jianping  
In order to recognize a person's face fast and perfectly, 27 points on the face are extracted as feature points automatically by using "Searching the existence" method. The distance between these points and the ratios between these distances serve as parameters to discribe the facial features, from which 15 points are selected by analysing their statistical characters. Recognition accuracy reachs 100% and 98% respectively in two different experiments according to the recognition criterion, the weighted Euclidean distance. The system takes 1 minute and 50 seconds from sending a face image to finishing the recognition on an IBM PC/AT.
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