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Analysis of Edge Detection Algorithms for Content Extraction from Images


Vijaykumar K L, Savitri Raju
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Detecting text regions in natural scene images has become an important area due to its varies applications. Text Information Extraction (TIE) System involves detecting text regions in a given image, localizing it, extracting the text part and recognizing text using OCR. This work basically concentrates on the detection and extraction of text in natural scene images. In this work, the test image will be pre-processed using RGB to Gray conversion, binarization, Edge Detection method and Geometric based Noise removal method. The features from the pre-processed image are extracted. After detecting text regions, characters are extracted and finally displayed. The purpose of this paper is to compare the basic methods Prewitt Edge Detector, Sobel edge detector and Robert edge detector with different structuring elements.

Vijaykumar K L, Savitri Raju

Content extraction, Text region detection, Edge detection, Text localization, Prewitt operator, Sobel operator, Robert operator.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
628-631 IJSRSET1622226   Technoscience Academy

Cite This Article

Vijaykumar K L, Savitri Raju, "Analysis of Edge Detection Algorithms for Content Extraction from Images", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.628-631, March-April-2016.
URL : http://ijsrset.com/IJSRSET1622226.php