Adaptive characters segmentation based on radical merging for texture

doi:10.3778/j.issn.1002-8331.2009.25.058

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (25): 188-190.DOI: 10.3778/j.issn.1002-8331.2009.25.058

• 图形、图像、模式识别 • Previous Articles Next Articles

Adaptive characters segmentation based on radical merging for texture

LV Zhen-yu¹，ZHAO Shuang¹，LIN Yong-min¹，ZHU Wei-dong²

1.College of Economics and Management，Hebei Polytechnic University，Tangshan，Hebei 063009，China
2.School of Computer and Information Technology，Beijing Jiaotong University，Beijing 100044，China

Received:2008-05-14 Revised:2008-07-28 Online:2009-09-01 Published:2009-09-01
Contact: LV Zhen-yu

基于部首合并的自适应文字切分制作笔迹纹理

吕震宇¹，赵爽¹，林永民¹，朱卫东²

1.河北理工大学经济管理学院，河北唐山 063009
2.北京交通大学计算机与信息技术学院，北京 100044

通讯作者: 吕震宇

Abstract

Abstract: At present，texture image for handwriting identification is commonly made by compressing row and word spaces.Long strokes randomly appearing in the sample will thus lead to uneven texture images，and then affect the result of handwriting identification.An adaptive characters segmentation algorithm based on radical merging is presented.Experiments show that the algorithm can effectively segment the conglutinate characters and create a more uniform texture image.The results of handwriting identification can be improved effectively.

Key words: self-adapting, characters segmentation, handwriting identification, texture

摘要： 目前笔迹鉴别预处理阶段的纹理图像制作通常采用压缩行距及字间距的方式，由于样本中存在随机出现的过长笔画，导致制作出的纹理不均匀，以致影响最终的笔迹鉴别结果。提出了一种基于偏旁部首合并的自适应文字切分算法，实验表明采用此算法能够对粘连的文字进行有效切分并且能够确保分字的正确，从而制作出的纹理更加均匀，能够有效提高笔迹鉴别的效果。

关键词: 自适应, 文字切分, 笔迹鉴别, 纹理

CLC Number:

TP391

LV Zhen-yu¹，ZHAO Shuang¹，LIN Yong-min¹，ZHU Wei-dong². Adaptive characters segmentation based on radical merging for texture[J]. Computer Engineering and Applications, 2009, 45(25): 188-190.

吕震宇¹，赵爽¹，林永民¹，朱卫东². 基于部首合并的自适应文字切分制作笔迹纹理[J]. 计算机工程与应用, 2009, 45(25): 188-190.

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Adaptive characters segmentation based on radical merging for texture

基于部首合并的自适应文字切分制作笔迹纹理

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