Stroke Extraction as Pre-processing Step for CJK Outline Font Compression

摘要：

In this paper, we present a hierarchical stroke extraction algorithm based on Stroke Segments and rough clustering, which is the pre-processing step for CJK outline font structure-based compression, and consists of two levels. In the higher level. Stroke Segments are extracted from CJK outline font, in order to remove the intersections and some attachments, Then the strokes are constituted by merging the Stroke Segments, and roughly clustered by the constitution and font knowledge. In the tower level, the strokes which are unsatisfied ones determined by the clustering results are sub-extracted to the satisfied ones according to the constituted Feature Segment. The algorithm can resolve two difficulties in traditional methods. And the experiments reveal that the approach is effective and suitable for multi-fonts.

作者: Xiaodan SONG Yupin LUO Akihiko NIWA Hideo UENO

作者单位: Automation Department, Tsinghua University, Beijing, 100084, P.R. China Production Dept., Brother Industries, Ltd., Nagoya 467-8562, Japan

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 387-392

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）