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Abstract
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Article Information:
A Novel Approach for Text Extraction from Complex Natural Scene
Tongcheng Huang and Liping Yin
Corresponding Author: Tongcheng Huang
Submitted: November 25, 2011
Accepted: January 04, 2012
Published: June 01, 2012 |
Abstract:
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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.
Key words: Natural scene text extraction, Particle Swarm Optimization (PSO), Wavelet Neural Network (WNN), wavelet theory, , ,
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Abstract
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Cite this Reference:
Tongcheng Huang and Liping Yin, . A Novel Approach for Text Extraction from Complex Natural Scene. Research Journal of Applied Sciences, Engineering and Technology, (11): 1471-1477.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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