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International Journal of

Recent Trends in Engineering

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International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1, Number 2, May 2009

Issue on Computer Science

Page(s): 246-249

A Survey of Script Identification techniques for Multi-Script Document Images

S.Abirami, D.Manjula

Full text: PDF

Abstract

The economic feasibility of maintaining large databases of document images has created a tremendous demand for robust ways to access and manipulate the information these images contain. In an automated environment, such document processing systems would clearly need human intervention to select the appropriate text understanding system for multilingual document images, which is obviously not desirable. Therefore, a script identification system is required to select the appropriate text understanding system to achieve best character interpretation among multilingual document images, automatically. In this paper, we present a survey of methods developed by researchers to identify the script in document images automatically without manual intervention.

Index Terms

Document Images, Script Identification

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