期刊文献+

高性能的车牌识别系统(英文) 被引量:21

Vehicle License Plate Recognition System with High Performance
下载PDF
导出
摘要 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 % 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.
出处 《自动化学报》 EI CSCD 北大核心 2003年第3期457-465,共9页 Acta Automatica Sinica
基金 SupportedbyNingboYouthFoundation ( 0 2J2 0 10 2 0 2)andKeyLaboratoryofIntegrateInformationNetworkTechnol ogy,ZheJiangProvince,P .R .China( 11140 2 J3 0 174)
关键词 车牌识别系统 图像采集卡 字符识别 计算机 中文字符识别 Vehicle license plate character recognition PCA-LSM structural features
  • 相关文献

参考文献1

二级参考文献8

  • 1Andrew K,et al.Automated fingerprint recognition using structural matching [J] .Pattern Recognition,1990,23(8):893-904.
  • 2Nishida H,Mori S.Algebraic description of curve structure [J].IEEE Trans,1992, PAMI-14(5):516-533.
  • 3Trier O D,Jain A K,Taxt T.Feature extraction methods for character recogniti on -A survey [J].Pattern Recognition,1996,9(4):641-662.
  • 4Freeman H.Picture Processing and Psychopictorics [M].New York:Academic Press,1 970.241-266.
  • 5Hough P V C.Methods and means for recognizing complex pattern [P].U.S.Patent:0 69654,1962.
  • 6Ballard D H.Generalizing the Hough Transform to detect arbitrary shapes [J].Pa ttern Recognition,1981,13:111-122.
  • 7夏勇,田捷,邓翔,漆远.一种高效的自适应指纹图像压缩算法[J].计算机学报,1999,22(5):525-528. 被引量:15
  • 8刘迎建,戴汝为.基于神经网络的手写汉字特征选择[J].模式识别与人工智能,1992,5(1):37-43. 被引量:5

共引文献1

同被引文献90

引证文献21

二级引证文献125

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部