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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 6, ISSUE 11, NOVEMBER 2017

Survey on Text Detection, Segmentation and Recognition from a Natural Scene Images

Miss Shital D Gheware, Nandkishor G Dharashive

DOI: 10.17148/IJARCCE.2017.61117

Abstract: Detecting text from an image is an important prerequisite for the content based image analysis process. To understand the contents of an image or the valuable information, there is need of analysing the text appears in it. Various methods have been proposed over past years for text detection and extraction from different types of images, like scene image, born digital image and document image.In this paper, we describe the existing methods of text detection, text segmentation and character recognition from natural scene images with their features, advantages and disadvantages.



Keywords: Text detection, text segmentation, character recognition, scene image.

How to Cite:

[1] Miss Shital D Gheware, Nandkishor G Dharashive, “Survey on Text Detection, Segmentation and Recognition from a Natural Scene Images,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.61117