[1]张麦库 林民 黄含泉.基于统计的笔段网格字形笔画曲线美化方法[J].计算机技术与发展,2012,(10):83-86.
 ZHANG Mai-ku,LIN Min,HUANG Han-quan.Stroke Curve Beautification Algorithm of Stroke-segment-mesh Glyph Based on Statistics[J].,2012,(10):83-86.
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基于统计的笔段网格字形笔画曲线美化方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年10期
页码:
83-86
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Stroke Curve Beautification Algorithm of Stroke-segment-mesh Glyph Based on Statistics
文章编号:
1673-629X(2012)10-0083-04
作者:
张麦库 林民 黄含泉
内蒙古师范大学计算机与信息工程学院
Author(s):
ZHANG Mai-ku LIN Min HUANG Han-quan
Computer & Information Engineering College, Inner Mongolia Normal University
关键词:
调节点训练集统计方法
Keywords:
adjust poiut training set statistical method
分类号:
TP301
文献标志码:
A
摘要:
已设计的汉字笔段网格字形笔画曲线美化算法对笔画曲线美化处理比较符合人对汉字的认知习惯,需要用户通过相应笔画的调节点对曲线笔画做局部调节从而达到满意的效果,对每个网格字形进行美化处理都要经过上述的处理,当处理大量字形时比较繁琐费时;针对恢问题文中抽取有代表性的有限数量的网格字形作为训练集,在此方法的基础上,对训练集中的字形做美化调节处理并记录不同曲线笔画类型中调节点的位置信息,然后用统计方法算出不同曲线笔画类型中相应调节点的位置特征信息,用这些调节点位置信息结合上述方法对网格字形进行自动美化处理,对处理大批量网格字形效率高、自动处理能力强且效果好
Abstract:
The beautification of Chinese character stroke-segment-mesh glyph stroke curve in processing stroke curve beautification is more in line with the cognitive habits of the the Chinese character,in order to achieve satisfactory glyph results,user needs to adjust the adjust point of the corresponding strokes do local adjust on strokes, for each grid glyph beautify to go through the above processing,more cumbersome and time-consuming when dealing with a large number of giyphs. For the problem, extract a representative of a limited number of grid-glyph as a training set,on the basis of the method,do beautify adjust processing to the training set and record the location information of adjust point in different types of curve strokes,and then use statistical methods to calculate the adjust point location characteristics of the different of curve strokes, using the adjust point location information combined with the above method auomatic beautification of grid-glyph, it is high efficiency and high automatic processing ability and better result in processing large quantities of gridglyph

备注/Memo

备注/Memo:
国家自然科学基金资助项目(60863007)张麦库(1987-),男,山东菏泽人,硕士研究生,主要从事自然语言处理、汉字信息处理;林民,博士,教授,研究方向为自然语言处理、人工锷能
更新日期/Last Update: 1900-01-01