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车牌定位与字符分割方法研究
引用本文:郎瑶,孙延鹏,许冰,郑丹.车牌定位与字符分割方法研究[J].沈阳航空工业学院学报,2011,28(3):56-59.
作者姓名:郎瑶  孙延鹏  许冰  郑丹
作者单位:1. 沈阳航空航天大学电子信息工程学院,辽宁沈阳,110136
2. 沈阳工业大学软件学院,辽宁沈阳,110023
摘    要:介绍了一种改进的基于纹理特征的车牌定位方法,采用自适应阈值,实现了车牌的准确定位。设定自适应改变大小的投影切割阈值实现了字符分割。最后采用BP神经网络法来识别各个字符。实验结果表明,该方法能够较为准确的实现车牌识别,具有定位准、鲁棒性好等特点。

关 键 词:信号处理技术  纹理特征  车牌定位  自适应阈值  字符分割

On license plate location and character segmentation
LANG Yao,SUN Yan-peng,XU Bing,ZHENG Dan.On license plate location and character segmentation[J].Journal of Shenyang Institute of Aeronautical Engineering,2011,28(3):56-59.
Authors:LANG Yao  SUN Yan-peng  XU Bing  ZHENG Dan
Institution:LANG Yao1,SUN Yan-peng1,XU Bing2,ZHENG Dan1 (1.School of Electronics Information Engineering,Shenyang Aerospace University,Liaoning Shenyang 110136,2.College of software,Shenyang University of Technology,Liaoning Shenyang 110023)
Abstract:The paper introuduces a license plate location algorithm with an adaptive threshold based on an improved texture characteristics for precise location.The feature of character segmentation lies in the projection threshold which is able to change according to different images.Finally BP neural network is used to identify each character.Experimental results show that the method can achieve accurate license plate recognition.
Keywords:signal processing  texture characteristics  license plate location  adaptive threshold  character segmentation  
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