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复杂车辆图像中的车牌定位与字符分割方法
引用本文:陈寅鹏,丁晓青. 复杂车辆图像中的车牌定位与字符分割方法[J]. 红外与激光工程, 2004, 33(1): 29-33
作者姓名:陈寅鹏  丁晓青
作者单位:清华大学,电子工程系,北京,100084;清华大学,电子工程系,北京,100084
基金项目:八六三"项目(2001AA114081)
摘    要:车牌定位和字符分割是车牌照自动识别系统中的关键步骤。提出了一个综合多种特征的车牌定位算法和一个基于模板匹配的字符分割算法,有效地解决了背景复杂的彩色图像中车牌定位和字符分割的问题。综合这些算法并结合字符识别核心,实现了一个完整的车牌照自动识别系统。该系统对不同背景、光照条件下采集到的车辆图像进行了大量实验,实验结果证明算法准确率高、鲁棒性好。

关 键 词:车牌定位  字符分割  模板匹配
文章编号:1007-2276(2004)01-0029-05
收稿时间:2003-03-13
修稿时间:2003-03-13

License-plate location and character segmentation in complex vehicle images
CHEN Yin-peng,DING Xiao-qing. License-plate location and character segmentation in complex vehicle images[J]. Infrared and Laser Engineering, 2004, 33(1): 29-33
Authors:CHEN Yin-peng  DING Xiao-qing
Abstract:License-plate location and character segmentation are two key components of the automatic vehicle license recognition system. An edge-texture-color based algorithm to locate the plate region and a template matching based algorithm to segment characters are proposed. Using these algorithms and a character recognition kernel, an automatic vehicle license recognition system was finished. The performance of the system was investigated on many real car images with complex background captured under various illumination conditions. The experimental results show that the proposed algorithms have high accuracy and robustness.
Keywords:License-plate location  Character segmentation  Template matching
本文献已被 CNKI 维普 万方数据 等数据库收录!
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