标准正面人脸图像的识别  

RECOGNIZING A TYPICAL HUMAN FACE FROM THE FRONT SIDE

作　　者：郑坚平[1] 尤婉英[2] 

机构地区：[1]上海工业大学 [2]清华大学

出　　处：《计算机工程》1992年第1期1-6,共6页Computer Engineering

摘　　要：本论文选用人脸上27个特殊点作为人脸基本特征。以人脸几何结构为基础,结合人脸识别的心理特性,提出新颖、简便、高精度的“寻找存在”法。使提取特征点的速度、精度得到大大的提高。在详细分析这27个特殊点的统计特性后,选择了其中信息量丰富的15个点间距及间距比构成一组向量代替人脸描述,用加权欧氏距离作为特征向量间相似性测度,在两类实验中,识别率高达100％和98％。 在IBM PC/AT上,从送入一幅人脸像到识别完毕,整个识别过程仅需1分50秒.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.

关 键 词：人脸识别 图形识别 模式识别 计算机 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]