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。
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.
出处
《红外与激光工程》
EI
CSCD
北大核心
2004年第1期29-33,共5页
Infrared and Laser Engineering
基金
八六三"项目(2001AA114081)
