NDLI: Converting printed Sinhala documents to formatted editable text

Content Provider	IEEE Xplore Digital Library
Author	Ajward, S. Jayasundara, N. Madushika, S. Ragel, R.
Copyright Year	2010
Description	Author affiliation: Department of Computer Engineering, University of Peradeniya, Peradeniya 20400 Sri Lanka (Ajward, S.; Jayasundara, N.; Madushika, S.; Ragel, R.)
Abstract	Digitizing printed document is always a challenge faced by the computing society. Digitization of text not only allows users to easily modify and reprint printed documents, but also is a need of the day due to the use of word-search capability available at disposal in this era. Converting a printed document into a stream of characters using OCR (optical character recognition) techniques is a widely researched area of the past and there are a number of well established algorithms available in the literature to do so. However, the idea of preserving the formatting information of the original document is not much studied. The contribution of this paper is of two folds: (1) applying known OCR techniques to one of Sri Lanka's native languages, Sinhala, and addressing the challenges in doing so and (2) maintaining a number of selected formatting features of the printed document in the converted editable text. Therefore, this paper outlines the design and implementation of a software system that converts a scanned paper document written in Sinhala language into formatted editable text and describes how this system is integrated into an open-source word processing tool.
Starting Page	138
Ending Page	143
File Size	840251
Page Count	6
File Format	PDF
ISBN	9781424485499
e-ISBN	9781424485529
DOI	10.1109/ICIAFS.2010.5715649
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-17
Publisher Place	Sri Lanka
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	optical character recognition Text recognition Layout editable scanned documents Artificial neural networks Feature extraction Optical imaging Sinhala document formatting horizontal profiling Character recognition Optical character recognition software vertical profiling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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