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字符粘连及字线相交的分割与识别方法
引用本文:邹荣金,蔡士杰,张福炎,苏丰,陈冀兵. 字符粘连及字线相交的分割与识别方法[J]. 软件学报, 1999, 10(3): 241-247
作者姓名:邹荣金  蔡士杰  张福炎  苏丰  陈冀兵
作者单位:南京大学计算机科学与技术系,南京,210093;南京大学计算机软件新技术国家重点实验室,南京,210093;南京大学计算机科学与技术系,南京,210093;南京大学计算机软件新技术国家重点实验室,南京,210093;南京大学计算机科学与技术系,南京,210093;南京大学计算机软件新技术国家重点实验室,南京,210093;南京大学计算机科学与技术系,南京,210093;南京大学计算机软件新技术国家重点实验室,南京,210093;南京大学计算机科学与技术系,南京,210093;南京大学计算机软件新技术国家重点实验室,南京,210093
基金项目:本文研究得到香港有利集团资金资助.
摘    要:描述了工程图纸矢量化中多向粘连字符及字线相交的分割算法与识别方法.提出不同情况下字串的定向计算方法,通过粘连字块的特征矢量计算和迭代计算实现字块的分割.运用波形投影方法解决了粘连字符及字线相交情况下的字间切割问题,使工程图多向字符识别精度显著提高,该算法对局部退化状态下的字符识别具有良好的抗干扰性.

关 键 词:计算机图形学  工程图纸识别  图像分割  识别.
收稿时间:1997-10-14
修稿时间:1998-03-19

Segmentation and Recognition Methods of Adhesion and Intersection Character String with the Line
ZOU Rong-jin,CAI Shi-jie,ZHANG Fu-yan,SU Feng and CHEN Ji-bing. Segmentation and Recognition Methods of Adhesion and Intersection Character String with the Line[J]. Journal of Software, 1999, 10(3): 241-247
Authors:ZOU Rong-jin  CAI Shi-jie  ZHANG Fu-yan  SU Feng  CHEN Ji-bing
Affiliation:ZOU Rongjin CAI Shijie ZHANG Fuyan SU Feng CHEN Jibing (Department of Computer Science and Technology Nanjing University Nanjing 210093)=(State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093) ==
Abstract:The segmentation and recognition methods of the omnirange character string which is adhered or intersected with the lines in the engineering drawing vectorization are described in this paper. The directional calculation methods of the string are also supplied on different drawing distribution cases, the segmentation of the adhered string between characters is also realized by calculating the feature vectors of the adhered local string block image and using the iteration approachment algorithm. The authors use the projection method to solve the segmenting problem of the characters in the case of character adhered or intersected with the lines, which made the recognition accuracy of the omnirange string increased. The algorithm has the antijamming property for the local degradation character recognition in the engineering drawings.
Keywords:Computer graphics   engineering drawings vectorization   image segmentation   recognition.
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