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基于人脸图像的实名制火车票检票系统研究

     

摘要

Considering the problems the real-name train ticket checking has at present that the efficiency of manual ticket checking is low and it is easy to lead to passengers stuck at check-in post, a ticket checking system for real-name train ticket based on face image is proposed. First, the face images of passenger's second generation ID and of the entering passenger his/her own are extracted at the security area of entrance. Secondly, the above images are sent to the authentication module for identity authentication by the face feature-based identity authentication algorithm. The authentication list is then generated based on the authentication results. Finally, the authentication list is downloaded to the turnstiles based on the information of the check-in post, and the ticket checking for real-name system is completed in combination with the AFC ticket checking information. Experimental results demonstrate that the identity authentication algorithm achieves 94. 14% correct authentication accuracy on FGnet and has robustness to the changes of illumination and expression, which can meet the demand of the real-name train ticket checking, the system also has quite high reliability and real-time property.%针对当前火车票实名制检票存在人工检票效率低、易造成检票口旅客滞留等问题,提出一种基于人脸图像的实名制火车票检票系统.首先在进站安检区域提取旅客的当前人脸图像和二代身份证人脸图像;其次将上述人脸图像上传至认证服务模块,运用基于旅客面部特征的身份认证算法进行身份认证,根据认证结果生成认证列表;最后将认证列表根据检票口信息下传至自动检票机(闸机),结合AFC检票信息完成实名制检票.实验结果表明,身份认证算法在FGnet人脸库上的正确认证率达到94.14%,且对光照与表情变化具有鲁棒性,能够满足火车票实名制检票的要求;该系统具有较高的可靠性和实时性.

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