License Plate Recognition Method Based on Character Density

ZHAO Peng; ZHAO Zhong-meng

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License Plate Recognition Method Based on Character Density

更新时间：2026-09-04

- License Plate Recognition Method Based on Character Density
- Vol. 28, Issue 1, Pages: 154-156(2011)
- 作者机构：
  
  西安交通大学计算机系,陕西,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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赵鹏, 赵仲孟. 基于字符密度的车牌识别方法研究[J]. 微电子学与计算机, 2011, 28(1): 154-156.

ZHAO Peng, ZHAO Zhong-meng. License Plate Recognition Method Based on Character Density[J]. 2011, 28(1): 154-156.
赵鹏, 赵仲孟. 基于字符密度的车牌识别方法研究[J]. 微电子学与计算机, 2011, 28(1): 154-156. DOI：

ZHAO Peng, ZHAO Zhong-meng. License Plate Recognition Method Based on Character Density[J]. 2011, 28(1): 154-156. DOI：

摘要

针对车牌识别系统的开发

提出一种基于二值图像的字符识别算法.在该算法中

采用了新的特征向量

字符的水平密度和垂直密度

分类器采用基于误差反响传播的人工神经网络算法(BP神经网络).采用这种方法可提高系统的字符识别率和系统的实时性

实验表明此算法非常有效.

Abstract

Aiming at license plate recognition development

a new character recognition algorithm is introduced based on binary image.In the method

we adopt new features including character horizontal traverse density and character vertical traverse density

classifier uses error back-propagation algorithm of artificial neural network (BP neural network) .This method can increase the correct license plate character recognition rate and real-time performance

experimental results show the new method is efficient.

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