Car plate number characters recognition using Gabor orientation features and neural networks

Author

Jin, Lianwen ; Qin, Jianzhao

Author_Institution

Coll. of Electron. & Inf., South China Univ. of Technol., Guangzhou, China

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

1628

Abstract

A new plate number character recognition method based on Gabor orientation feature and neural networks technologies is presented in this paper. Based on elastic meshing techniques and Gabor filter, a new feature extraction approach for low resolution plate number characters is proposed. An integrated neural networks model is designed as an intelligent classifier. Experiments on large data set (1000 sets of training data and 500 sets of testing data) shows the recognition rate of 99.26%, suggesting that the proposed approach is very effective.

Keywords

character recognition; feature extraction; filters; neural nets; Gabor filter; Gabor orientation features; car plate number recognition; characters recognition; elastic meshing techniques; integrated neural networks; intelligent classifier; recognition rate; Character recognition; Educational institutions; Equations; Feature extraction; Gabor filters; Intelligent networks; Neural networks; Optical character recognition software; Testing; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1281193

Filename

1281193