On-line cursive Korean character recognition by using curvature models

Byung Hwan Jun; Moo Young Kim; Chang Soo Kim; Woo Seong Kim; Jaihie Kim

doi:10.1109/ICDAR.1995.602086

On-line cursive Korean character recognition by using curvature models

Byung Hwan Jun, Moo Young Kim, Chang Soo Kim, Woo Seong Kim, Jaihie Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Publisher	IEEE Computer Society
Pages	1051-1054
Number of pages	4
ISBN (Electronic)	0818671289
DOIs	https://doi.org/10.1109/ICDAR.1995.602086
Publication status	Published - 1995
Event	3rd International Conference on Document Analysis and Recognition, ICDAR 1995 - Montreal, Canada Duration: 1995 Aug 14 → 1995 Aug 16

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2
ISSN (Print)	1520-5363

Conference

Conference	3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Country/Territory	Canada
City	Montreal
Period	95/8/14 → 95/8/16

Bibliographical note

Publisher Copyright:
© 1995 IEEE.

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.1995.602086

Cite this

Jun, B. H., Kim, M. Y., Kim, C. S., Kim, W. S., & Kim, J. (1995). On-line cursive Korean character recognition by using curvature models. In Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 (pp. 1051-1054). Article 602086 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ICDAR.1995.602086

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title = "On-line cursive Korean character recognition by using curvature models",

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.",

author = "Jun, {Byung Hwan} and Kim, {Moo Young} and Kim, {Chang Soo} and Kim, {Woo Seong} and Jaihie Kim",

note = "Publisher Copyright: {\textcopyright} 1995 IEEE.; 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 ; Conference date: 14-08-1995 Through 16-08-1995",

year = "1995",

doi = "10.1109/ICDAR.1995.602086",

language = "English",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

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pages = "1051--1054",

booktitle = "Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995",

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}

Jun, BH, Kim, MY, Kim, CS, Kim, WS & Kim, J 1995, On-line cursive Korean character recognition by using curvature models. in Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995., 602086, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2, IEEE Computer Society, pp. 1051-1054, 3rd International Conference on Document Analysis and Recognition, ICDAR 1995, Montreal, Canada, 95/8/14. https://doi.org/10.1109/ICDAR.1995.602086

On-line cursive Korean character recognition by using curvature models. / Jun, Byung Hwan; Kim, Moo Young; Kim, Chang Soo et al.
Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995. IEEE Computer Society, 1995. p. 1051-1054 602086 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - On-line cursive Korean character recognition by using curvature models

AU - Jun, Byung Hwan

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AU - Kim, Chang Soo

AU - Kim, Woo Seong

AU - Kim, Jaihie

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N2 - 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.

AB - 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.

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Jun BH, Kim MY, Kim CS, Kim WS, Kim J. On-line cursive Korean character recognition by using curvature models. In Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995. IEEE Computer Society. 1995. p. 1051-1054. 602086. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.1995.602086

On-line cursive Korean character recognition by using curvature models

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

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