International Journal of Computational Intelligence Systems

Volume 1, Issue 2, June 2008, Pages 116 - 126

Language Identification of Kannada, Hindi and English Text Words Through Visual Discriminating Features

Authors
M.C. Padma, P.A. Vijaya
Corresponding Author
M.C. Padma
Available Online 1 June 2008.
DOI
https://doi.org/10.2991/ijcis.2008.1.2.2How to use a DOI?
Keywords
Document mage Processing, Multi-lingual Document, Language Identification, Horizontal Lines, Vertical Lines, Feature Extraction.
Abstract
In a multilingual country like India, a document may contain text words in more than one language. For a multilingual environment, multi lingual Optical Character Recognition (OCR) system is needed to read the multilingual documents. So, it is necessary to identify different language regions of the document before feeding the document to the OCRs of individual language. The objective of this paper is to propose visual clues based procedure to identify Kannada, Hindi and English text portions of the Indian multilingual document.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
1 - 2
Pages
116 - 126
Publication Date
2008/06
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2008.1.2.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - M.C. Padma
AU  - P.A. Vijaya
PY  - 2008
DA  - 2008/06
TI  - Language Identification of Kannada, Hindi and English Text Words Through Visual Discriminating Features
JO  - International Journal of Computational Intelligence Systems
SP  - 116
EP  - 126
VL  - 1
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2008.1.2.2
DO  - https://doi.org/10.2991/ijcis.2008.1.2.2
ID  - Padma2008
ER  -