基于面部几何特征点提取的人脸识别方法

Face recognition based on geometrical feature points extraction

文中介绍了一种通过提取特征点信息进行人脸识别的方法。在利用形态交离变换确定眼球位置的基础上，根据区域点投影曲线检测特征点，然后构造尺寸、位移、旋转不变的特征向量，并与样本库中的人脸特征向量相比计算其相似度，依据相似的程度完成识别。实践证明该方法对人脸正面图具有准确的识别率，并具有强抗干扰能力。

A method for face recognition based on feature points extraction has been mentioned in this paper. The positions of eyeballs are detected by means of Hit\|Miss Transform (HMT), and the regions of organs in face are defined by using point\|projecting curves. Then feature vectors, which have the properties of scale, translation and rotation invariance, are formed. From the similarity compared with the feature vectors in the sample database, the task of face recognition is fulfilled. It is proved highly that this method has advantages of recognition accuracy and robust capability of anti\|interference. \;