An Empirical Study on Identification of Strokes and their Significance in Script Identification
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 4
Abstract
India is a multilingual, multi-script country. There are totally 22 official languages and 12 scripts in India. People adopted to use two or more languages resulting in bilingual and trilingual documents. Many official documents are available with a combination of local language, English and sometimes Hindi. In this context script identification relies on the fact that each script has unique spatial distribution and visual attributes that make it possible to distinguish it from other scripts. Many script identification methods such as Distribution of an index of optical density method, identification of frequently occurring connected component templates, filtered pixel projection profiles vertical and horizontal projection profiles of document images were proposed earlier. In this work, a simple technique for script identification from a set of English, Telugu, and Devanagari document images in printed form is presented. The proposed system uses stroke features, pixel distribution along a sequence of words.
Authors and Affiliations
Sirisha Badhika
Keywords
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