License Plate Identification Using Artificial Neural Network and Wavelet Transformed Feature Selection

Author

More, Nandan ; Tidke, Bharat

Author_Institution

Savitribai Phule, Pune Univ., Pune, India

fYear

2015

fDate

8-10 Jan. 2015

Firstpage

1

Lastpage

5

Abstract

Traffic management system broadly used license plate recognition for them whose owner has dumped traffic laws or to find the stolen vehicles. Here License Plate Identification Using Artificial Neural Network and Wavelet Transformed Feature Selection is proposed, which is based on wavelet transform function and comparing the proposed methodology with correlation based method for the detection of number plate. Experimental result shows that the proposed technology has the better performance in comparison with the correlation based methodology. The matching process for number plate recognition is modified with the help of multi-class RBF neural network optimization.

Keywords

correlation methods; feature selection; image matching; object detection; object recognition; radial basis function networks; traffic engineering computing; wavelet transforms; artificial neural network; correlation based method; license plate identification; license plate recognition; matching process; multiclass RBF neural network optimization; number plate detection; number plate recognition; traffic laws; traffic management system; wavelet transform function; wavelet transformed feature selection; Character recognition; Image recognition; Licenses; Neural networks; Vehicles; Wavelet transforms; Feature selection; RBF Neural Network; Vehicle license plate detection; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing (ICPC), 2015 International Conference on

Conference_Location

Pune

Type

conf

DOI

10.1109/PERVASIVE.2015.7087181

Filename

7087181