On-line cursive Korean character recognition by using curvature models

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
PublisherIEEE Computer Society
Pages1051-1054
Number of pages4
ISBN (Electronic)0818671289
DOIs
Publication statusPublished - 1995 Jan 1
Event3rd International Conference on Document Analysis and Recognition, ICDAR 1995 - Montreal, Canada
Duration: 1995 Aug 141995 Aug 16

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2
ISSN (Print)1520-5363

Conference

Conference3rd International Conference on Document Analysis and Recognition, ICDAR 1995
CountryCanada
CityMontreal
Period95/8/1495/8/16

Fingerprint

Character recognition
Processing

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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). [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
Jun, Byung Hwan ; Kim, Moo Young ; Kim, Chang Soo ; Kim, Woo Seong ; Kim, Jaihie. / On-line cursive Korean character recognition by using curvature models. Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995. IEEE Computer Society, 1995. pp. 1051-1054 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR).
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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.",
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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; Kim, Woo Seong; Kim, Jaihie.

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 proceedingConference contribution

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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). https://doi.org/10.1109/ICDAR.1995.602086