NDLI: Entropy based Script Identification of a multilingual Document Image

Content Provider	IEEE Xplore Digital Library
Author	Bashir, R. Quadri, S.M.K.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Kashmir, Srinagar, India (Quadri, S.M.K.) \|\| Dept. of Comput. Sci., Islamic Univ. of Sci. & Technol., Awantipora, India (Bashir, R.)
Abstract	Automatic Document Image Analysis has been a prime field of research in the past few decades. Script Identification is an essential part of automatic document image analysis. Script is essentially the text of a written document and languages are written using them. A huge set of techniques have been proposed and many scripts, foreign & domestic, have been identified. But so far, trivial work has been reported for the identification of Kashmiri script. In this paper we are proposing & experimentally testing identification of Kashmiri script collectively with three other related scripts viz. Roman, Devanagri & Urdu using entropy. First, a set of training images are experimented to prepare the knowledge base and later the actual samples have been evaluated. The proposed system offers an accuracy rate of 98.50%.
Sponsorship	IEEE Delhi Sect.
Starting Page	19
Ending Page	23
File Size	168992
Page Count	5
File Format	PDF
ISBN	9789380544106
e-ISBN	9789380544120
DOI	10.1109/IndiaCom.2014.6828005
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-05
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Bharati Vidyapeeth University
Subject Keyword	Kashmiri Script Text analysis Automatic Document Image Analysis Urdu Column Entropy Entropy Roman Classification algorithms Multilingual Quadra-lingual Image analysis Accuracy Devangari Energy Feature extraction Script Identification
Content Type	Text
Resource Type	Article

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