Vehicle license plate recognition based on wavelet transform modulus maxima and BP neural network

Author

Huang Lin ; Yang Tie-jun

Author_Institution

Guilin Univ. of Technol., Guilin, China

fYear

2012

fDate

29-31 May 2012

Firstpage

295

Lastpage

297

Abstract

License plate recognition is an important part of intelligent transportation systems, and image feature extraction and recognition are the key processes. This paper describes a method of license plate identification. Firstly, wavelet transform modulus maxima is used to detect edges for the segmented characters of the plate, then the features of relative moment are extracted. Secondly, the features are fed into BP neural network for classification. Experiment results show that the method is efficient and has good recognition rate.

Keywords

automated highways; backpropagation; edge detection; feature extraction; image classification; image segmentation; neural nets; object recognition; road vehicles; wavelet transforms; BP neural network; classification; edge detection; image feature extraction; image recognition; intelligent transportation systems; license plate identification method; plate character segmentation; relative moment feature extraction; vehicle license plate recognition; wavelet transform modulus maxima; Biological neural networks; Character recognition; Feature extraction; Image edge detection; Licenses; Wavelet transforms; BP neural network; feature extraction; license plate recognition; relative moments; wavelet transform modulus maxima;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2012 Eighth International Conference on

Conference_Location

Chongqing

ISSN

2157-9555

Print_ISBN

978-1-4577-2130-4

Type

conf

DOI

10.1109/ICNC.2012.6234668

Filename

6234668