Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (5): 207-210.

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

Semi-auto stitching of scrapped paper based on character characteristic

LUO Zhizhong   

  1. School of Mechanical and Electrical Engineering, East China Jiaotong University, Nanchang 330013, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2012-02-11 Published:2012-02-11

基于文字特征的文档碎纸片半自动拼接

罗智中   

  1. 华东交通大学 机电工程学院,南昌 330013

Abstract: This paper analyzes demerits of classical stitching method based on edge geometry characteristic of scrapped paper, studies characteristic of character row and table grid in scrapped paper, investigates their acquisition method, and proposes a semi auto stitching method for scrapped paper based on character row and table grid. In the end, C language computer programs for semi-auto stitching of scrapped paper are developed according to this algorithm. They are applied in a stitching experiment for pieces of scrapped paper. The result shows that this semi-auto stitching method is effective.

Key words: stitching of scrapped paper, image stitching, pattern recognition

摘要: 分析了基于几何特征的碎纸片自动拼接方法的缺点,研究了碎纸片内文字行特征、表格特征特点,以及碎纸片内文字行特征、表格线特征的获取方法,提出了基于碎片文字行特征或表格特征的碎片半自动拼接算法。根据算法研制了C语言计算机程序,用该程序对一实际例子进行了拼接试验,试验结果表明该方法效果良好。

关键词: 碎纸片拼接, 图像拼接, 模式识别