DocumentCode :
2691963
Title :
Research in Character Recognition Based on Generalized Regression Neural Network
Author :
Wang, Shenghui ; Yang, Fei
Author_Institution :
Inf. Technol. Center, China Guangdong Nucl. Power Holding Co. Ltd., Shenzhen, China
fYear :
2012
fDate :
7-9 July 2012
Firstpage :
318
Lastpage :
320
Abstract :
Template matching and machine learning are the common methods in character recognition. Generalized regression neural network(GRNN) belongs to machine learning, which has the advantages of simple design, fast convergence speed, requiring less training samples, with global approximation and the best approximation property, robustness and strong nonlinear processing ability than traditional classifiers. In this paper we use generalized regression neural network in character recognition and do some research in license plate recognition system.
Keywords :
approximation theory; character recognition; image matching; learning (artificial intelligence); neural nets; object recognition; regression analysis; GRNN; character recognition; convergence speed; generalized regression neural network; global approximation; license plate recognition system; machine learning; nonlinear processing ability; template matching; Biological neural networks; Character recognition; Feature extraction; Licenses; Neurons; Training; GRNN; character recogintion; license plate recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4673-2033-7
Type :
conf
DOI :
10.1109/CMCSN.2012.77
Filename :
6245876
Link To Document :
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