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A Texture Based Methodology for Text Region Extraction from Low Resolution Natural Scene Images
S A Angadi, M. M. Kodabagi
Pages - 229 - 245     |    Revised - 30-10-2009     |    Published - 30-11-2009
Volume - 3   Issue - 5    |    Publication Date - November 2009  Table of Contents
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KEYWORDS
Text Region Extraction, Texture Features, Low Resolution Natural scene image
ABSTRACT
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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Dr. S A Angadi
Basaveshwar Engineering College - India
vinay_angadi@yahoo.com
Mr. M. M. Kodabagi
Basaveshwar Engineering College - India