Recognizing Characters Based on Gaussian-Hermite Moments and BP Neural Networks

Author

Wu, Youfu ; Wu, Yongwu ; Zhou, Gang ; Wu, Jing

Author_Institution

Guizhou Univ. for Nat., Guiyang, China

Volume

2

fYear

2010

fDate

11-12 May 2010

Firstpage

992

Lastpage

995

Abstract

Moments are widely used in pattern recognition, image processing, computer vision and multi resolution analysis. In this paper, we first printout Gaussian-Hermite moments, and propose a new method to extract the character features based on Gaussian-Hermite moments. Following, for training network, the moment features were inputted to BP network as the parameters; so that, a classifier was realized for recognizing the character image. The experiment results are reported also, which show the good performance of our method.

Keywords

Gaussian processes; backpropagation; character recognition; image recognition; method of moments; neural nets; BP neural network; Gaussian-Hermite moment; backpropagation; character feature extraction; character image recognition; Character recognition; Computer vision; Feature extraction; Gaussian processes; Image analysis; Image processing; Image resolution; Neural networks; Pattern analysis; Pattern recognition; BP Network; Character Recognition; Gaussian-Hermite Moments;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.709

Filename

5522960