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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 | |
| Copyright Notice: | This 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. FULL COPYRIGHT INFORMATION: | |
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| title | On-line cursive Korean character recognition by using curvature models | |
| contributor.author | Byung Hwan Jun | |
| contributor.author | Moo Young Kim | |
| contributor.author | Kim, Chang-Soo | |
| contributor.author | Woo Seong Kim | |
| contributor.author | Jaihie Kim | |
| contributor.deptlab | Biological Sciences | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | Intelligent Microsystem Laboratory | |
| subject | Korean alphabets | |
| subject | candidate references | |
| subject | character recognition | |
| subject | curvature models | |
| subject | image matching | |
| subject | line segments | |
| subject | online cursive Korean character recognition | |
| subject | primitives | |
| subject | structural curvature models | |
| date.issued | 1995 | |
| date.submitted | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.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 | |
| identifier.pub.URI | ||
| description.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 | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This 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 | ||
| date.accessioned | 2007-04-05T14:02:19Z | |
| date.available | 2007-04-05T14:02:19Z | |
| identifier.persist.URI | ||
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