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基于文字特征的文档碎纸片半自动拼接
引用本文:罗智中.基于文字特征的文档碎纸片半自动拼接[J].计算机工程与应用,2012,48(5):207-210.
作者姓名:罗智中
作者单位:华东交通大学 机电工程学院,南昌 330013
基金项目:江西省教育厅2010年科学技术研究项目(No.GJJ10447)
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  
修稿时间: 

Semi-auto stitching of scrapped paper based on character characteristic
LUO Zhizhong.Semi-auto stitching of scrapped paper based on character characteristic[J].Computer Engineering and Applications,2012,48(5):207-210.
Authors:LUO Zhizhong
Affiliation:School of Mechanical and Electrical Engineering, East China Jiaotong University, Nanchang 330013, China
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.
Keywords:stitching of scrapped paper  image stitching  pattern recognition
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