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A Texture Based Methodology for Text Region Extraction from Low Resolution Natural Scene Images
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International Journal of Image Processing (IJIP)
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Volume:  3    Issue:  5
Pages:  184-251
Publication Date:   November 2009
ISSN (Online): 1985-2304
Pages 
229 - 245
Author(s)  
S A Angadi - India
M. M. Kodabagi - India
 
Published Date   
30-11-2009 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Text Region Extraction, Texture Features, Low Resolution Natural scene image 
 
 
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Automated systems for understanding display boards are finding many applications useful in guiding tourists, assisting visually challenged and also in providing location aware information. Such systems require an automated method to detect and extract text prior to further image analysis. In this paper, a methodology to detect and extract text regions from low resolution natural scene images is presented. The proposed work is texture based and uses DCT based high pass filter to remove constant background. The texture features are then obtained on every 50x50 block of the processed image and potential text blocks are identified using newly defined discriminant functions. Further, the detected text blocks are merged and refined to extract text regions. The proposed method is robust and achieves a detection rate of 96.6% on a variety of 100 low resolution natural scene images each of size 240x320.  
 
 
 
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S A Angadi : Colleagues
M. M. Kodabagi : Colleagues  
 
 
 
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