摘要
面部识别被认为是生物特征识别领域甚至人工智能领域最困难的研究课题之一,如何进行好面部识别工作对于生活、生产都有着十分重要的意义。本文提出一种基于特征点提取的面部识别方法,在得到已知图像和待识别图像以后,先对其进行边缘提取和点特征提取,然后基于提取的特征点进行灰度模板匹配,通过图像匹配的结果对图像进行识别。
Facialrecognitionisconsideredasthemostdifficultresearchtopicinthefieldofbiometrics,eveninthefieldofartificialintel igence.Howtodo facialrecognitionwel hasaveryimportantmeaningincommonlifeandglobalproduction.Thispaperpresentsamethodoffacerecognitionbasedonfea-ture point extraction. This paper takes edge detection and feature extraction after getting known images and identifying images, then does gray template matchingbasedonfeaturepointswhichhavebeenextracted,final yrecognizedtheimagebytheresultsofimagematching.
出处
《科技风》
2014年第7期122-123,共2页
关键词
面部识别
特征点提取
图像匹配
Facialrecognition
featureextraction
imagematching
