许可证
字符识别
人工神经网络
智能交通系统
性格(数学)
计算机科学
人工智能
模板匹配
匹配(统计)
模式识别(心理学)
计算机视觉
工程类
图像(数学)
运输工程
数学
统计
几何学
操作系统
作者
Jianlan Feng,Yuping Li,Mianzhou Chen
标识
DOI:10.1109/car.2010.5456536
摘要
Construction of intelligent transportation system is a necessary requirement for the development of transport, and LPR(License Plate Recognition) is an important part of construction of intelligent transportation system, Therefore, the research of license plate recognition method is of importance. The license plate character is recognized by building BP artificial neural network in this paper, it simplifies data analysis and mathematical model compare with template matching method, thus the recognition accuracy and run speed has greatly improved. the character having extracted complete characteristic value can be recognized in good result.
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