Language identification of Kannada, Hindi and English text words through visual discriminating features

被引：0
|
作者：
Padma M.C. [1 ]
Vijaya P.A. [2 ]
机构：
[1] Dept. of Computer Science and Engineering, PES College of Engineering, Mandya-571401, Karnataka
[2] Dept. of Electronics and Communication Engineering, Malnad College of Engineering, Hassan-573201, Karnataka
来源：
International Journal of Computational Intelligence Systems | 2008年 / 1卷 / 02期
关键词：
Document mage processing; Feature extraction; Horizontal lines; Language identification; Multi-lingual document; Vertical lines;
D O I：
10.2991/ijcis.2008.1.2.2
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：116 / 126
页数：10
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