Full metadata record
DC FieldValueLanguage
dc.contributor.authorYang, HMen_US
dc.contributor.authorLu, JJen_US
dc.contributor.authorLee, HJen_US
dc.date.accessioned2014-12-08T15:26:46Z-
dc.date.available2014-12-08T15:26:46Z-
dc.date.issued2001en_US
dc.identifier.isbn0-7695-1263-1en_US
dc.identifier.urihttp://hdl.handle.net/11536/19030-
dc.description.abstractIn this paper, we propose a method to vectorize Chinese characters in calligraphy documents. Our system can prevent tire zigzag phenomena when the characters are enlarged. The system contains two modules: contour segment extraction and description. In the former, high curvature points on contours are detected as corner points, which divide the contour into several segments. In the latter, a contour segment can be described either by a straight line or a cubic Bezier curve. according to relations between the contour segment and the Bezier curve, control points are adjusted to fit the contour segment better. When the curve fitness cost is small enough, the shape is described well. The processing time of our curve fitting is about five seconds per A4 image, which has 4488 contour segments. Experimental results demonstrate that our system is efficient and promising.en_US
dc.language.isoen_USen_US
dc.subjectcurve fittingen_US
dc.subjectshape descriptionen_US
dc.subjectBezier curveen_US
dc.subjectcorner pointen_US
dc.titleA Bezier curve-based approach to shape description for Chinese calligraphy charactersen_US
dc.typeProceedings Paperen_US
dc.identifier.journalSIXTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, PROCEEDINGSen_US
dc.citation.spage276en_US
dc.citation.epage280en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000171845000054-
Appears in Collections:Conferences Paper