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Morphological Reconstruction for Word Level Script Identification.
B. V. Dhandra, Mallikarjun Hangarge
Pages - 41 - 51 | Revised - 15-06-2007 | Published - 30-06-2007
MORE INFORMATION
KEYWORDS
Script identification, Bilingual documents, OCR, Morphological reconstruction, regional descriptors
ABSTRACT
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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Mr. B. V. Dhandra
- India
dhandra_b_v@yahoo.co.in
Mr. Mallikarjun Hangarge
- India
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