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基于水平梯度和形态学分析的车牌实时定位方法
引用本文:于深洋,黄剑华,刘家锋,唐降龙,赵薇,刘松波.基于水平梯度和形态学分析的车牌实时定位方法[J].计算机工程,2007,33(17):204-207.
作者姓名:于深洋  黄剑华  刘家锋  唐降龙  赵薇  刘松波
作者单位:哈尔滨工业大学计算机科学与技术学院,哈尔滨,150001
摘    要:车牌图像定位是车牌照识别系统的关键,该文提出了一种在高速公路复杂背景下的车牌定位与车牌字符分割方法。该方法利用水平相关特征、车牌区域的梯度形态特征和车牌配色特征进行车牌定位,并利用车牌的结构特征采用多尺度模板匹配方法切分车牌字符。实验表明该方法在复杂背景下具有较好的定位切分效果和较强的鲁棒性。

关 键 词:车牌检测和定位  水平梯度  HSV色彩分割  多尺度模板字符分割
文章编号:1000-3428(2007)17-0204-04
修稿时间:2006-10-08

Approach of License Plate Locating Based on Horizontal Grads and Morphology Analysis
YU Shen-yang,HUANG Jian-hua,LIU Jia-feng,TANG Xiang-long,ZHAO Wei,LIU Song-bo.Approach of License Plate Locating Based on Horizontal Grads and Morphology Analysis[J].Computer Engineering,2007,33(17):204-207.
Authors:YU Shen-yang  HUANG Jian-hua  LIU Jia-feng  TANG Xiang-long  ZHAO Wei  LIU Song-bo
Affiliation:School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001
Abstract:Vehicle license plate locating is of vital importance in license plate recognition system.This paper proposes a new license plate detection and character segmentation method.The horizontal correlating feature of characters,grads shape and color feather of license plate are taken into consideration to the location of license plates.Multiple scale template matching is applied for license plate characters segmentation using structural information of license plates.Experiments show that the proposed method is reliable and robust in complex environment in actual application.
Keywords:license plate detecting and locating  horizontal grads  HSV color segmentation  multiple scale template character segmentation
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