Analysis of Edge Detection Algorithms for Content Extraction from Images

Authors(2) :-Vijaykumar K L, Savitri Raju

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.

Authors and Affiliations

Vijaykumar K L
Department of Electronics and Communication, SDM College of Engineering and Technology, Dharwad, Karnataka, India
Savitri Raju
Department of Electronics and Communication, SDM College of Engineering and Technology, Dharwad, Karnataka, India

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 : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 628-631
Manuscript Number : IJSRSET1622226
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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.
Journal URL : http://ijsrset.com/IJSRSET1622226

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