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Title: On-line cursive Korean character recognition by using curvature models
Author (s): Byung Hwan Jun
Moo Young Kim
Kim, Chang-Soo
Woo Seong Kim
Jaihie Kim
Department/Lab Affiliations: Biological Sciences
Electrical and Computer Engineering
Intelligent Microsystem Laboratory
Keywords: Korean alphabets
candidate references
character recognition
curvature models
image matching
line segments
online cursive Korean character recognition
primitives
structural curvature models
Issue Date: 1995
Publisher: Institute of Electrical and Electronics Engineers
Citation: Byung Hwan Jun; Moo Young Kim; Chang Soo Kim; Woo Seong Kim; Jaihie Kim, "On-line cursive Korean character recognition by using curvature models" Proceedings of the Third International Conference on Document Analysis and Recognition, 1995. pp.1051-1054 vol.2, 14-16 Aug 1995
Abstract: A cursive Korean character consists of several Korean alphabets where connection is present within and among the alphabets. Recognition of Korean characters can be carried out by splitting each character into smaller primitives. Small line segments can be used as the primitives. But this approach requires too much processing time, for there can be many candidate references to be matched to one input character and each reference usually consists of too many primitives. In this paper, we propose an approach using structural curvature models to overcome the difficulties of using small line segments. These models are obtained by segmenting the input character at the points showing sudden change in direction, excessive rotation, etc. By doing this, rather larger and structural curve segments can be used as the basic primitives to be matched resulting in the savings of processing time and better recognition rate
Type: Article - Conference proceedings
text
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titleOn-line cursive Korean character recognition by using curvature models
contributor.authorByung Hwan Jun
contributor.authorMoo Young Kim
contributor.authorKim, Chang-Soo
contributor.authorWoo Seong Kim
contributor.authorJaihie Kim
contributor.deptlabBiological Sciences
contributor.deptlabElectrical and Computer Engineering
contributor.deptlabIntelligent Microsystem Laboratory
subjectKorean alphabets
subjectcandidate references
subjectcharacter recognition
subjectcurvature models
subjectimage matching
subjectline segments
subjectonline cursive Korean character recognition
subjectprimitives
subjectstructural curvature models
date.issued1995
date.submitted2007
publisherInstitute of Electrical and Electronics Engineers
identifier.citationByung Hwan Jun; Moo Young Kim; Chang Soo Kim; Woo Seong Kim; Jaihie Kim, "On-line cursive Korean character recognition by using curvature models" Proceedings of the Third International Conference on Document Analysis and Recognition, 1995. pp.1051-1054 vol.2, 14-16 Aug 1995
identifier.pub.URI
http://ieeexplore.ieee.org/iel3/4755/13256/00602086.pdf?arnumber=60208
description.abstractA cursive Korean character consists of several Korean alphabets where connection is present within and among the alphabets. Recognition of Korean characters can be carried out by splitting each character into smaller primitives. Small line segments can be used as the primitives. But this approach requires too much processing time, for there can be many candidate references to be matched to one input character and each reference usually consists of too many primitives. In this paper, we propose an approach using structural curvature models to overcome the difficulties of using small line segments. These models are obtained by segmenting the input character at the points showing sudden change in direction, excessive rotation, etc. By doing this, rather larger and structural curve segments can be used as the basic primitives to be matched resulting in the savings of processing time and better recognition rate
typeArticle - Conference proceedings
type.DCMITypetext
type.statusFinal version
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rights.URI
http://www.ieee.org/web/publications/rights/policies.html
date.accessioned2007-04-05T14:02:19Z
date.available2007-04-05T14:02:19Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/00602086_09007dcc8030c029.html
Full Text
00602086_09007dcc8030c02e.pdf