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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 4, APRIL 2017

Literature Survey on Word Identification System for Kannada Language

Sushma and Madesha M

DOI: 10.17148/IJARCCE.2017.6438

Abstract: Translating text form one language to another by extracting text from an image will enhance the knowledge of society without any language barrier. Text extraction from image involves detecting the text from given image, finding the presence of text location, extraction, enhancement and recognition of text from the given image. Machine translation technique is used to translate source language to target language. Machine translation plays an important role in benefiting linguists, sociologists, computer scientists. The demand of translation has become more in recent years due to increase in the exchange of information between various regions using different regional languages. A large number of techniques have been proposed to address this problem. The purpose of this paper is to review and classify various text extraction algorithms and translation techniques.



Keywords: Machine Translation, Text Location, Text Enhancement, Linguists, Sociologists.

How to Cite:

[1] Sushma and Madesha M, “Literature Survey on Word Identification System for Kannada Language,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6438