NDLI: Statistical Modeling of the Relation between Characters and Diacritics in Lampung Script

Content Provider	IEEE Xplore Digital Library
Author	Junaidi, A. Grzeszick, R. Fink, G.A. Vajda, S.
Copyright Year	2013
Description	Author affiliation: Nat. Libr. of Med., Nat. Inst. of Health, Bethesda, MD, USA (Vajda, S.) \|\| Dept. of Comput. Sci., Tech. Univ. Dortmund, Dortmund, Germany (Junaidi, A.; Grzeszick, R.; Fink, G.A.)
Abstract	Lampung Script is a non-cursive script where a rich set of diacritics is used to modify the syllable denoted by a character symbol. Consequently, the analysis of the relation between characters and diacritic marks associated with them plays an important role in the recognition process. As diacritics can appear in three different relative positions with respect to a character (top, bottom, and right) associating them correctly with a character is a challenging problem. In this paper we propose a novel approach for modeling the relations between characters and diacritics in handwritten Lampung documents. First, a document is segmented into characters and diacritic marks. Then every character defines a normalized coordinate system into which nearby diacritics can be mapped. The relation between a diacritic mark and its associated character can then be described by a statistical model. In a writer independent experimental evaluation we investigate models with different degrees of specialization with respect to their capability of predicting the correct character-to diacritic associations. We achieve significant error rate reductions with respect to a naive association model using a nearest-neighbor criterion.
Starting Page	663
Ending Page	667
File Size	223021
Page Count	5
File Format	PDF
ISBN	9780769549996
ISSN	15205363
DOI	10.1109/ICDAR.2013.136
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character recognition Handwriting recognition Compounds Training Databases Shape Computational modeling diacritic-character relation Lampung Script Gaussian Mixture Model
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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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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