摘要
人脸识别是模式识别、图像处理等学科的一大研究热点,可以广泛地应用于安全部门、电视会议、身份鉴别、数字监控等领域。人脸识别技术因其广泛的应用领域而成为最具吸引力的研究方向之一。人脸是一个非常复杂的模型．因此即使一个小孩也可以轻易地识别出一张人脸．但是应用计算机进行人脸识别却是一件困难的事情。人脸识别技术有着广泛的应用前景和迫切的现实需要,是当前模式识别领域最热门的研究方向之一。一般的人脸识别系统主要包括预处理,特征提取．样本学习和识别过程四个部分。其中特征提取的好坏将直接影晌到识别效果。
Human face recognition is attractive in paten recognition and image processing. It can be applied to security system, human ID management, teleconference, digital surveillance and so on.The technology of face recognition is one of the most interesting research directions for its wide application. The human face is a complex paten. Though it is easy for a child to recognize a human face, it is difficult for a computer to recognize a human face automatically.Human face recognition has a wide imply respect and emergent reality need, and it is one of the most interesting research directions of mold recognition. A general system of face recognition includes： pretreatment, features extraction sample study and sample recognize. As the most important step, feature extraction will affect the rate of face recognition directly.
出处
《仪器仪表用户》
2007年第1期62-64,共3页
Instrumentation
关键词
人脸识别
预处理
特征提取
眼睛定位
face recognition
pretreatment
feature extraction
eye location
