NDLI: Segmentation of historical lanna handwritten manuscripts

Content Provider	IEEE Xplore Digital Library
Author	Pravesjit, S. Thammano, A.
Copyright Year	2012
Description	Author affiliation: Computational Intelligence Laboratory, Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand (Pravesjit, S.; Thammano, A.)
Abstract	Lanna script is an archaic script not commonly used in today's world. People trying to read these archaic Lanna manuscripts have to find some form of translation help to understand what they said. Unfortunately, few people nowadays know how to read or write this language. Therefore, character recognition system must be put to use in order to translate the Lanna script to the commonly used script. The poor condition of the manuscripts and the writing style of the script make this problem very difficult to solve. The most difficult cases of the writing style problem are the touching and overlapping characters. Therefore, the first two stages of the character recognition process, which are image preprocessing and segmentation, need to be closely watched over so that the recognition accuracy is high. In this paper, two new techniques are proposed. The first proposed technique emphasizes on converting a grayscale image to a binary image. In this proposed technique, the concepts of the multithresholding method and Otsu's method are combined together. The second proposed technique emphasizes on the process of touching character segmentation. In doing this, the bounding box analysis is initially employed to segment the document image into images of isolated characters and images of touching characters. The thinning algorithm is applied to extract the skeleton of the touching characters. Next, by using the junction points as the separation points, the skeleton of the touching characters is separated into several pieces. Finally, the separated pieces of the touching characters are put back to reconstruct two isolated characters. The proposed algorithm achieves an accuracy of 86.67%.
Starting Page	332
Ending Page	337
File Size	856182
Page Count	6
File Format	PDF
ISBN	9781467322768
e-ISBN	9781467322782
DOI	10.1109/IS.2012.6335238
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-06
Publisher Place	Bulgaria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Vectors Junctions Gray-scale Algorithm design and analysis Character recognition Image recognition dissection method character segmentation touching character
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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