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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 4, APRIL 2015

Text Localization and Recognition in Natural Scene Images

Mona Saudagar, S. V. Jain

DOI: 10.17148/IJARCCE.2015.4413

Abstract: The extraction of text in an image is a classical problem in the computer vision. With the increasing popularity of practical vision system text recognition in natural scenes becomes a critical task. Text data present in images and video contain useful information for automatic annotation, image indexing. But as natural scene images contain complex background, multiple fonts and orientations, and different alignments make the problem of automatic text extraction extremely challenging. This paper proposes the approach for automatic detection of text from images and explains the methodology to extract and recognize multi-oriented text in natural scene images.



Keywords: Text Localization, Text extraction, Text recognition, Sobel Mask, Binarization, Bounding Box.

How to Cite:

[1] Mona Saudagar, S. V. Jain, “Text Localization and Recognition in Natural Scene Images,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4413