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    Abstract
2012 (Vol. 4, Issue: 11)
Article Information:

A Novel Approach for Text Extraction from Complex Natural Scene

Tongcheng Huang and Liping Yin
Corresponding Author:  Tongcheng Huang 

Key words:  Natural scene text extraction, Particle Swarm Optimization (PSO), Wavelet Neural Network (WNN), wavelet theory, , ,
Vol. 4 , (11): 1471-1477
Submitted Accepted Published
November 25, 2011 January 04, 2012 June 01, 2012
Abstract:

In this study, hybrid Particle Swarm Optimization (PSO)-based Wavelet Neural Network (WNN) for natural scene text extraction is presented. In our approach, wavelet transformation is done on the different current and the wavelet coefficients are obtained. The wavelet coefficients are given as inputs to the wavelet neural network trained by Particle Swarm Optimization (PSO-WNN). The final network output of real text regions is different from those non-text regions. The experimental results demonstrate the effectiveness of the proposed method for complex natural scene.
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  Cite this Reference:
Tongcheng Huang and Liping Yin, 2012. A Novel Approach for Text Extraction from Complex Natural Scene.  Research Journal of Applied Sciences, Engineering and Technology, 4(11): 1471-1477.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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