[1]吴 欣,张志伟.基于形态学和霍夫变换的文档图像倾斜检测[J].南京理工大学学报(自然科学版),2009,(02):178-182.
 WU Xin,ZHANG Zhi-wei.Skew Detection of Document Images Using Mathematical Morphology and Hough Transform[J].Journal of Nanjing University of Science and Technology,2009,(02):178-182.
点击复制

基于形态学和霍夫变换的文档图像倾斜检测
分享到:

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2009年02期
页码:
178-182
栏目:
出版日期:
2009-04-30

文章信息/Info

Title:
Skew Detection of Document Images Using Mathematical Morphology and Hough Transform
作者:
吴 欣1 张志伟2
1. 南京理工大学计算机科学与技术学院, 江苏南京210094; 2. 中国科学技术大学工程科学学院, 安徽合肥230027
Author(s):
WU Xin1ZHANG Zhi-wei2
1.School of Computer Science Science and Technology,NUST,Nanjing 210094,China;2.School of Engineering Science,University of Science and Technology of China,Hefei 230027,China
关键词:
倾斜检测 文档图像处理 数学形态学 霍夫变换
Keywords:
skew detection document image processing mathematical morphology Hough transform
分类号:
TP391.41
摘要:
为了解决各种文档倾斜方法难以同时兼顾检测精确度和处理速度,该文提出了一种基于形态学和霍夫变换的文档倾斜检测方法。首先用形态学方法对文档图像进行行程平滑、消除噪声和边缘提取,然后用霍夫变换检测出文档的倾角。通过改进形态学运算,加快了检测速度。实验结果表明,该方法对A4大小的文档图像的平均检测用时为1.78 s,最大误差为0.2°。
Abstract:
To solve the problems that the existent methods detecting skew of documents have difficulties in precision,accuracy or speed,a method based on mathematical morphology and the Hough transform is presented.Morphology method is used to smooth the document image,eliminate the pixel noise and detect the edge of the text row,and the Hough Transform is applied to detect the skew angle.In order to improve the performance,fast morphology image transforms are implemented.The detection time for A4 paper is 1.78 s,and the biggest error is 0.2°.The test results show that this method is precise,accurate,fast and robust.

参考文献/References:

[ 1] Yu B, Ja in A K. A robust and fast skew detection a-l gorithm for gene tic docum ents [ J]. Pattern Recogn-i tion, 1996, 29( 10) : 1599- 1629.
[ 2] 李政, 杨扬, 颉斌, 等. 一种基于H ough 变换的文档图像倾斜纠正方法[ J]. 计算机应用, 2005, 25 ( 3): 583- 585.
[ 3] 王姝华, 李佐, 蔡士杰. 基于最小二乘法的文档图像倾斜检测方法[ J]. 计算机应用与软件, 2001 ( 9): 43- 46.
[ 4] N ajm an L. U sing m athem atical mo rpho logy fo r do cum en t Skew estim ation [ A ]. In Pro c SPIE Docum ent Recognition and Retr ieva l XI[ C ]. San Jose: International Soc iety for Optical Eng ineer ing , 2004, 5296. 182- 191.
[ 5] Yan H. Skew co rrection o f docum ent im ages using inte rline cross-correlation[ J]. CVGIP: Graph ica lM odel and Im age Pro cessing, 1993, 55( 6): 538- 543.
[ 6] BoomGaard R V, Ba len R V. M ethods fo r fast m orpho log ica l im age transform s using bitm apped binary im ag es[ J]. CVGIP: Graphica lModel and Im age Processing, 1992, 54( 3): 252- 258.

备注/Memo

备注/Memo:
作者简介: 吴欣( 1974- ) , 男, 博士, 主要研究方向: 图像处理、模式识别等, E-m a il :wux in0909@ sohu. com。
更新日期/Last Update: 2012-11-19