论文部分内容阅读
文章介绍了基于人脸识别的煤矿职工考勤系统的设计原理、系统结构、设计方法和数据库系统的设计以及实现。其中最主要的部分就是面部特征的识别,首先由视频摄像头获取原始图像,然后对其进行预处理,接下来对于得到的图像针对双眼,鼻尖和嘴巴等特征进行定位,最后通过定位后的特征信息实现整体面部区域的识别功能。识别完成之后再通过和数据库中的特征信息向量进行比对,完成对于煤矿职工个体的识别。
This paper introduces the design principle, system structure, design method and database system design and implementation of mine employee time and attendance system based on face recognition. The most important part is the recognition of facial features. Firstly, the original image is obtained by the video camera and then preprocessed. Then the features of the obtained image are binocular, nose and mouth. Finally, To achieve the overall recognition of facial features. After the recognition is completed, the identification of individual workers in the coal mine is completed by comparing with the feature information vector in the database.