摘要
针对常规旅客身份识别系统识别正确率较低的问题,引入机器视觉技术,以民航为例,提出一种全新的旅客身份智能识别系统。系统采用浏览器/服务器(Browser/Server,B/S)硬件架构,通过高性能摄像机抓取旅客人脸画面。首先,应用高斯滤波方法对民航旅客原始人脸图像进行线性平滑滤波处理,以减小图像内的噪声像素;其次,利用相似度融合技术实现旅客三维人脸智能识别;最后,进行对比分析。测试结果表明,系统识别正确率均在95%以上,具有较好的识别效果。
Aiming at the problem of low recognition accuracy in conventional passenger identification systems,a new intelligent passenger identification system is proposed by introducing machine vision technology and taking civil aviation as an example.The system adopts a Browser/Server(B/S)hardware architecture,capturing passenger face images through high-performance cameras.Firstly,Gaussian filtering method is applied to linearly smooth and filter the original face image of civil aviation passengers to reduce noise pixels in the image.Secondly,using similarity fusion technology to achieve three-dimensional passenger face intelligent recognition.Finally,a comparative analysis is conducted.The test results show that the recognition accuracy of the system is above 95%,with a good recognition effect.
作者
张宁
关晟彤
关亦贺元
杨雅云
张桢玙
ZHANG Ning;GUAN Shengtong;GUAN Yiheyuan;YANG Yayun;ZHANG Zhenyu(Guangzhou Civil Aviation College,Guangzhou Guangdong 510280,China)
出处
《信息与电脑》
2023年第6期194-196,共3页
Information & Computer
基金
2023年广东省科技创新战略专项资金(大学生科技创新培育)项目“复杂条件下民航旅客智能化自动身份识别系统设计”(项目编号:pdjh2023b0797)。
关键词
机器视觉
民航
旅客身份
智能识别
machine vision
civil aviation
passenger identity
intelligent identification
