DocumentCode :
2433036
Title :
Chinese License Plate Recognition Using a Convolutional Neural Network
Author :
Zhao, Zhihong ; Yang, Shaopu ; Ma, Xinna
Author_Institution :
Shijiazhuang Railway Inst., Shijiazhuang
Volume :
1
fYear :
2008
fDate :
19-20 Dec. 2008
Firstpage :
27
Lastpage :
30
Abstract :
In this paper, a new method was introduced in the Chinese license plate recognition. We propose a convolutional neural network architecture designed to recognize license plate directly from pixel images with no preprocessing. We present the image transformation applied on the original license plate to increase the training database. We also provide experimental results to demonstrate the robustness of our approach and the recognition rate on the license plate and non-license plate testing set.
Keywords :
image recognition; natural language processing; neural net architecture; traffic engineering computing; Chinese license plate recognition; convolutional neural network architecture; image transformation; pixel image; Character recognition; Convolution; Face detection; Face recognition; Handwriting recognition; Image recognition; Licenses; Neural networks; Pixel; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
Type :
conf
DOI :
10.1109/PACIIA.2008.196
Filename :
4756518
Link To Document :
بازگشت