Chen Shunqing. A Design on Chinese Character Base and Its Application[J]. Geomatics and Information Science of Wuhan University, 1990, 15(3): 88-97.
Citation: Chen Shunqing. A Design on Chinese Character Base and Its Application[J]. Geomatics and Information Science of Wuhan University, 1990, 15(3): 88-97.

A Design on Chinese Character Base and Its Application

More Information
  • Received Date: August 30, 1988
  • Published Date: March 04, 1990
  • There are two methods to get the vector Chinese characters:Digitizing and Raster-to-vector Conversion.After a general view of these methods,a new Raster-to-vector Con-version method based on the Minimal First Conversion of 8-neighbor Adjacent Matrix is derived.In order to efficiently solve the boundary conversion of a dot Chinese character,the method of Enlarged Matrix is proposed.Some other Raster-to-vector Conversion methods(i.e.distance transformation,skeleton,border following,ect) are also discuss-ed.The formulas of geometric transformation for locating and directing the characters in a drawing is given by means of an azimuthal angle.Using above conclusions,the author and his colleagues have successfully designed the online and offline functions of"automatic filling Chinese character and Chinese report" on INFORMAP Ⅲ graphic software.That software is made from the Synercom Technology Inc.of U.S.A without providing any Chinese character function yet.The experiments show that the above methods can not only be applied in automatic filling Chinese characters in any computer's graphic drawings,but also in Chinese characterizing graphic softwares and processing scan images.
  • Related Articles

    [1]XU Qiang, CUI Shenghua, HUANG Wei, PEI Xiangjun, FAN Xuanmei, AI Ying, ZHAO Weihua, LUO Yonghong, LUO Jing, LIU Ming, XIA Min, WANG Fei, PENG Dalei, ZHENG Guang, CHEN Wanlin. Construction of a Landslide Knowledge Graph in the Field of Engineering Geology[J]. Geomatics and Information Science of Wuhan University, 2023, 48(10): 1601-1615. DOI: 10.13203/j.whugis20230245
    [2]LI Hao, GUO Li, WANG Yunge, JIANG Jingli. Grid Pattern Recognition in Road Networks Using Link Graph[J]. Geomatics and Information Science of Wuhan University, 2022, 47(1): 126-132. DOI: 10.13203/j.whugis20190300
    [3]DU Zhiqiang, LI Yu, ZHANG Yeting, TAN Yuqi, ZHAO Wenhao. Knowledge Graph Construction Method on Natural Disaster Emergency[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1344-1355. DOI: 10.13203/j.whugis20200047
    [4]YUAN Xiuxiao, YUAN Wei, CHEN Shiyu. An Automatic Detection Method of Mismatching Points in Remote Sensing Images Based on Graph Theory[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 1854-1860. DOI: 10.13203/j.whugis20180154
    [5]SHI Yan, LIU Qiliang, DENG Min, LIN Xuemei. A Hybrid Spatial Clustering Method Based on Graph Theory and Spatial Density[J]. Geomatics and Information Science of Wuhan University, 2012, 37(11): 1276-1280.
    [6]TIAN Jing, SONG Zihan, AI Tinghua. Grid Pattern Extraction in Road Networks with Graph[J]. Geomatics and Information Science of Wuhan University, 2012, 37(6): 724-727.
    [7]WAN Youchuan, HUANG Jun. Influence of Geometric and Graph Theoretical Measures on Land Classification Using High-Resolution Remote Sensing Images[J]. Geomatics and Information Science of Wuhan University, 2009, 34(7): 794-798.
    [8]LUO Jing, CUI Weihong, NIU Zhenguo. Application of Spatio-temporal Reasoning Model Based on Hyper-graph Theory[J]. Geomatics and Information Science of Wuhan University, 2007, 32(1): 90-93.
    [9]ZHANG Yuanyu, LI Lin, JIN Yuping, ZHU Haihong. Structured Design of Dendritic River Networks Based on Graph[J]. Geomatics and Information Science of Wuhan University, 2004, 29(6): 537-539,543.
    [10]Feng Yan, Zhang Zhenglu, Luo Nianxue. Algorithms to Produce Least Independent Close Loops and Connecting Traverses Automatically[J]. Geomatics and Information Science of Wuhan University, 1998, 23(3): 255-259.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return