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基于神经网络的汽车牌照自动识别
引用本文:王年,王邦元,赵海峰,任彬.基于神经网络的汽车牌照自动识别[J].安徽大学学报(自然科学版),2000,24(1):45-50.
作者姓名:王年  王邦元  赵海峰  任彬
作者单位:1. 安徽大学,电子工程与信息科学系,安徽,合肥,230039
2. 合肥市职工大学,计算中心,安徽,合肥,230011
基金项目:安徽省科技厅科研项目 
摘    要:介绍行驶车辆牌照自动识别系统基础上 ,对所获取的车辆正面车头图象 ,采用了多层次分割算法来定位车牌照 ,从图象背景中分离出牌照 ,再采用一种阴影掩膜技术对单个英文字母及阿拉伯数字进行编码 ,提取字符特征 ,并进而用BP网络进行识别。整个算法简单 ,识别率可达 96%。

关 键 词:计算机视觉  模式识别  图象分割

Automatic Recognition for Vehicle License Number Plate Based on Neural Network
WANG Nian,WANG Bang-yuan,ZHAO Hai-feng,REN Bin.Automatic Recognition for Vehicle License Number Plate Based on Neural Network[J].Journal of Anhui University(Natural Sciences),2000,24(1):45-50.
Authors:WANG Nian  WANG Bang-yuan  ZHAO Hai-feng  REN Bin
Abstract:The paper introduces an automatic recognition system of driving vehicle license number plate. From the front image of the vehicle we locate the place of the license plate by using multi-layer segment algorithm and separate the license plate from the background. Then we code the single English character and Arabic numbers by a shadow mask, pick up their characters, furthermore, recognize them by neural network. The whole algorithm is easy and the correct ratio of recognition is about ninety-six percent.
Keywords:computer vision  pattern recognition  image segment
本文献已被 CNKI 维普 万方数据 等数据库收录!
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