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| Morphological Reconstruction for Word Level Script Identification.
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Full
text: |
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Source |
International Journal of Computer Science and Security (IJCSS) |
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Table of Contents |
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Complete Issue PDF(1.56MB) |
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Volume: 1 Issue: 1 |
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Pages: 1-96 |
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Publication
Date: June 2007 |
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ISSN
(Online): 1985-1553 |
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Pages |
41 - 51 |
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Author(s) |
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Published
Date |
30-06-2007 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Script identification, Bilingual documents, OCR, Morphological reconstruction, regional descriptors |
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| A line of a bilingual document page may contain text words in regional language
and numerals in English. For Optical Character Recognition (OCR) of such a
document page, it is necessary to identify different script forms before running an
individual OCR system. In this paper, we have identified a tool of morphological
opening by reconstruction of an image in different directions and regional
descriptors for script identification at word level, based on the observation that
every text has a distinct visual appearance. The proposed system is developed
for three Indian major bilingual documents, Kannada, Telugu and Devnagari
containing English numerals. The nearest neighbour and k-nearest neighbour
algorithms are applied to classify new word images. The proposed algorithm is
tested on 2625 words with various font styles and sizes. The results obtained are
quite encouraging |
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S. Mansor, R. bin Din and A. Samsudin. "Analysis of Natural Language Steganography". International Journal of Computer Science and Security (IJCSS), 3(2), pp. 113-125, 2009
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arXiv.org
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Gulbarga University
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Universität Trier
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ArnetMiner
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eprintweb.org
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PAPYRUS
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Free Fonts
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PeekYou
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123people
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Baidu
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The Smithsonian/NASA Astrophysics Data System
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| B. V. Dhandra : Colleagues
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| Mallikarjun Hangarge : Colleagues
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