摘要
为进行人脸图像的识别,需要提取面部图像的特征点,通过提取鼻尖、眼角、鼻角、嘴角等特征点,并且以鼻尖作为基准点,分别与两只眼睛的左右眼角以及左右两个鼻角和两个嘴角等构成11维特征向量,作为标准人脸特征向量存入数据库。在分析某人脸图像时,按上述方法提取特征点构成11维特征向量,并与数据库中的特征向量进行对照匹配,当数据接近或匹配时,则认为是同一个人。实验证明,该系统的识别率达到设计要求。
In order to identify the image of face, it introduced all dimension eigenvectors which constituted of some feature points such as nose, eyes, mouth and their edges, etc. All these features are based on the top of nose. A same man was thanght if the feature points which be picked up from the face on the way mentioned above can match the 11 dimension eigenvectors which be put into the database when analyzed the image efface. Experimentations have proved that this system was satisfying of the rate of identification.
出处
《计算机工程与设计》
CSCD
2003年第2期44-45,56,共3页
Computer Engineering and Design
基金
广西自然科学基金资助项目(桂科自0146007)
