车牌自动识别技术研究  

Automatic Recognition Technology of License Plate

作　　者：戴忠起 赵建玉[2] 杨东明 朱海渤 

机构地区：[1]济南市计量检定测试院,济南250022 [2]济南大学,济南250022

出　　处：《价值工程》2015年第4期239-240,共2页Value Engineering

摘　　要：本文提出的车牌识别技术,在定位环节根据图像清晰度的不同采用不同的边缘检测算子,通过"角点提取"获取候选区位置,通过"模糊外轮廓的汉字识别"进行汉字提取。实验结果表明,本研究对全天候图像的整体定位率大约为97.7%,字符识别率大约为95.6%,整个车牌识别系统的识别率约为93.4%,平均识别时间约为0.5s/幅,识别率有较大的提高。The license plate recognition technology proposed in this paper adopts different edge detection operators based on difference of image sharpness in the position link, gains the position of candidate area by ＂corner extraction＂, and extracts the Chinese characters through ＂fuzzy outer contour Chinese character recognition＂. Experimental results show that the overall positioning rate of the all-weather image is about 97.7%, the character recognition rate is about 95.6%, the recognition rate of entire license plate recognition system is about 93.4%. and the average recognition time is about 0.5s/web, so the recoznition rate is zreatly improved.

关 键 词：车牌识别系统 角点提取 傅里叶描述子 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]