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基于边缘检测的人脸正面图像识别 被引量:1

Recognition of Face Positive Image Based on Edge Detection
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摘要 人脸识别系统是高级信息检索和机器人视觉的重要内容.主要提供了基于人脸正面图像特征提取的方法.在具体实施的过程中,首先是将彩色图像转化成灰度图像来增加图像本身的对比度,以便图像的边缘检测和特征定位,其次是利用边缘检测的方法,对人脸图像进行特征提取,以达到人脸特征识别的目的. The system of recognitioning face is important in information index and robot sight. Detection research has made great progress in recent 20 years. It is a technology global scale development and has an extensive application as an important part of the control system, human-computer interface system and human emotion research system. This paper mainly provides a method of face positive image based on geometric feature extraction. Firstly, with the aim of edge detection of the image and the feature's location, we should change color image into gray image to increase their own contrast. And than the method is the feature extraction of the image,armed to recognition human-face.
出处 《甘肃联合大学学报(自然科学版)》 2008年第6期80-83,共4页 Journal of Gansu Lianhe University :Natural Sciences
基金 甘肃省教育厅科研基金项目(0808-04) 天水师范学院科研项目(TSB0721)
关键词 灰度变换 边缘检测 灰度投影 特征提取 the transformation of gray images edge detection gray projection feature extraction
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