CAJ | 학술논문

描述了一个车辆牌照识别系统.该系统首先利用车辆位置传感器和图像采集卡来自动获取车辆图像并传输至计算机,然后识别车牌字符.结合网络技术,特定车牌信息和车辆图像可以很方便地从远端检索到.文中介绍了该系统的结构及工作流程,以及两种字符的识别方法:基于PCA-LSM的有限中文字符识别方法和基于结构特征分析的字母及数字字符识别方法.在实际应用环境下,该系统的日间整体识别率超过97%,夜间整体识别率超过95%.
묘술료일개차량패조식별계통.해계통수선이용차량위치전감기화도상채집잡래자동획취차량도상병전수지계산궤,연후식별차패자부.결합망락기술,특정차패신식화차량도상가이흔방편지종원단검색도.문중개소료해계통적결구급공작류정,이급량충자부적식별방법:기우PCA-LSM적유한중문자부식별방법화기우결구특정분석적자모급수자자부식별방법.재실제응용배경하,해계통적일간정체식별솔초과97%,야간정체식별솔초과95%.
We present our License Plate Recognition (LPR) System. Using vehicle position sensors and image acquisition card, it captures images of the vehicles automatically and sends the images to computer, then recognizes characters of the vehicle plate. Combined with the web technique, information of certain plates and the images of the vehicles can be browsed conveniently from remote sites. The system frame and workflow of our LPR System are introduced. Some problems and two of our proposed character recognition methods, i.e. method based on PCA-LSM for limited Chinese character recognition and method based on structural feature analysis for alphabetic and digital character recognition, are addressed in full details. The field applications under practical conditions show that the whole recognition rate of our system is over 97% in daytime and 95% at night.