A Research on the Stroke-Segment-Mesh (SSM) Glyph Depiction Method of Chinese Character

被引:2
|
作者
Lin, Min [1 ,3 ]
Song, Rou [1 ,2 ]
Ge, Shi-Li [2 ]
机构
[1] Bejing Univ Technol, Coll Comp Sci & Technol, Beijing 100022, Peoples R China
[2] Beijing Language & Culture Univ, Coll Informat Sci, Beijing 100083, Peoples R China
[3] Inner Mongolia Normal Univ, Coll Comp & Informat Engn, Huhhot 010022, Mongolia
关键词
D O I
10.1109/ALPIT.2008.62
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
There are defects in the current depiction method of computerized Chinese character glyph, especially on the aspect of feature selection and computation for comparing glyphs, which cause many problems, such as the input of wrongly written characters, variant forms of characters in ancient literatures, and combined-characters and automatic glyph comparing. This research offers an application-oriented depiction method of Chinese character glyph, which possesses the characteristics of suitable granular degree, ambiguity-free, and standardized basic units and which can be applied in the depiction of any possible different glyph skeletons (including wrongly written characters, variant form of a Chinese character, and combined-characters). This research also offers the classifications of basic stokes, compound stokes, algorithms of automatic stoke extraction and structural relation computation based on stroke-segments-mesh depiction of glyphs. The experiment indicates that this method can be applied in the descriptive input of any glyph and computation for comparing either the whole or part of glyphs.
引用
收藏
页码:269 / +
页数:3
相关论文
共 13 条
  • [1] Beautification of Chinese Character Stroke-Segment-Mesh Glyph Stroke Curve
    Zhang, MaiKu
    Lin, Min
    Huang, HanQuan
    [J]. ADVANCES IN MULTIMEDIA, SOFTWARE ENGINEERING AND COMPUTING, VOL 2, 2011, 129 : 101 - 110
  • [2] A Normalization Method of Converting Online Handwritten Chinese Character to Stroke- Segment-Mesh Glyph
    Huang, HanQuan
    Lin, Min
    Zhang, MaiKu
    [J]. ADVANCES IN ELECTRICAL ENGINEERING AND AUTOMATION, 2012, 139 : 213 - 219
  • [3] New Chinese character thinning and stroke extraction method
    Li, Jianhua
    Wang, Hong
    Yan, Wenzhi
    Gao, Qinghua
    [J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2008, 29 (SUPPL. 2): : 350 - 353
  • [4] GWBNER: A named entity recognition method based on character glyph and word boundary features for Chinese EHRs
    Zhang, Jinsong
    Yu, Xiaomei
    Wang, Zhichao
    Zheng, Xiangwei
    [J]. JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2023, 35 (08)
  • [5] Research on the method of handprinted Chinese character recognition
    Cui, HL
    [J]. ICSP '96 - 1996 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II, 1996, : 1350 - 1353
  • [6] Robust stroke segmentation method for handwritten Chinese character recognition
    Liu, K
    Huang, YS
    Suen, CY
    [J]. PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, 1997, : 211 - 215
  • [7] New method of describing Chinese character stroke's density
    Tang, Xianglong
    Liu, Jiafeng
    Jiang, Wei
    [J]. Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 29 (06): : 73 - 75
  • [8] Research on denoising method of chinese ancient character image based on chinese character writing standard model
    Miao Yalin
    Liang Li
    Ji Yichun
    Li Guodong
    [J]. Scientific Reports, 12
  • [9] Research on denoising method of chinese ancient character image based on chinese character writing standard model
    Miao Yalin
    Liang Li
    Ji Yichun
    Li Guodong
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [10] Data Pre-processing and Stroke Segment Extraction for On-line Handwritten Chinese Character Recognition
    唐降龙
    舒文豪
    刘家锋
    李铁才
    [J]. Journal of Harbin Institute of Technology(New series), 1996, (03) : 76 - 81