An automatic method of location for number-plate using color features

Author

Wei, Wu ; Wang, Mingjun ; Huang, Zhongxiang

Author_Institution

Dept. of Road & Traffic Eng., Changsha Commun. Univ., China

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

782

Abstract

This paper presents an automatic method of location for a number-plate using color features. In this method, the pixel colors of the number-plate area are classified using a neural network, then color features are extracted by analyzing scanning lines of the cross-section of the number-plate. It makes full use of the number-plate color features to locate the number-plate. The experimental results show that the correct rate of number-plate location is close to 100%, and the time of number-plate location is less than 1 second. It is also observed that this system is not sensitive to variations of weather, illumination and vehicle speed. In addition, and also it does not require the size of the number-plate to be known in prior. This system is of crucial significance is to apply and spread the automatic system of vehicle plate recognition

Keywords

feature extraction; image classification; image colour analysis; image recognition; multilayer perceptrons; MLPN networks; automatic method; color features; feature extraction; neural network; number-plate area; number-plate location; pixel colors; vehicle plate recognition; Character recognition; Euclidean distance; Feature extraction; Image color analysis; Image converters; Image recognition; Lighting; Neural networks; Vehicles; Wavelength conversion;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959162

Filename

959162