期刊文献+

一种基于页眉线的扭曲文档图像快速校正方法

A Correcting Method Based on Header and Footer Line for Warped Documnet Images
下载PDF
导出
摘要 在对文档图像进行光学字符识别时,由于书籍扭曲的存在,识别率会降低。对于含有页眉页脚线的扭曲文档图像,提出一种快速校正方法。首先分别检测并定位图像中的页眉线,保存页眉线的坐标信息。根据等比算法计算页眉线上各点在校正时所需向上或向下移动的距离,然后以此距离为参数扫描图像,计算页眉页脚线之间的各个目标像素校正所需移动的距离,同时进行像素点的移动重构图像,最终得到校正的图像。实验结果表明,该方法校正效果明显,对于包含页眉页脚线的扭曲文档图像有较好的校正效果,校正后OCR识别率大幅度提高。 The recognition rate of OCR (optical character recognition) is low because of the warped document images. For those warped document images with header and footer lines, a fast method is proposed to increase the rate of OCR in this paper. Firstly, the location of the header line is detected and restored in the document image. Then the distance of the line moving upward or downward is calculated based on geometric algorithm. After that, the image is scanned using the distance as parameters and the distance that every target pixel needs to remove is calculated. At the same time, all pixel are removed in order to restructure the image and then a well corrected image is obtained. Experiments demonstrated that this correcting method was efficient. The OCR rate of warped document image with header line could be significantly improved.
出处 《图学学报》 CSCD 北大核心 2016年第1期79-83,共5页 Journal of Graphics
基金 国家自然科学基金项目(61371142)
关键词 计算机应用 扭曲文档 页眉页脚线 等比距离 图像校正 computer application warped document header and footer line geometric distance image correct
  • 相关文献

参考文献13

  • 1向世明,赵国英,陈睿,贾富仓,李华.积厚文档扫描图像校正[J].计算机辅助设计与图形学学报,2005,17(1):42-48. 被引量:7
  • 2Ghods A R, Mozaffari S, Ahmadpanahi E Document image dewarping using kinect depth sensor [C]//Iranian Conference on Electrical Engineering (ICEE). Iranian, 2013: 1-6.
  • 3Meng G E Pan C H, Xiang S M, et al. Metric rectification of curved document images [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 4(34): 707-722.
  • 4杨玲,成运.应用经纬映射的鱼眼图像校正设计方法[J].工程图学学报,2010,31(6):19-22. 被引量:32
  • 5宋丽丽,吴亚东,孙波.改进的文档图像扭曲校正方法[J].计算机工程,2011,37(1):204-206. 被引量:10
  • 6Liu H, Ding R W. Restoring Chinese warped document images based on text boundary lines [C]//lntemational Conference on Systems, Man and Cybernetics (ICSMC). San Antonio, Texas, USA, 2009: 571-576.
  • 7张伟业,赵群飞.读书机器人的版面分析及文字图像预处理算法[J].微型电脑应用,2011(1):58-61. 被引量:8
  • 8Nafchi H Z, Moghaddam R F, Cheriet M. Application of phase-based features and denoising in postprocessing and binarization of historical document images [C]// Document Analysis and Recognition (ICDAR), 2013 12th International Conference on. Washington, DC: [s. n.], 2013 220-224.
  • 9Meng G F, Xiang S M, Zheng N N, et al. Nonparametric illumination correction for scanned document images via convex hulls [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(7): 1730-1743.
  • 10都文鹏,王敏.基于图像边缘直线特征的尾随目标识别[J].华中科技大学学报(自然科学版),2013,41(S1):160-162. 被引量:2

二级参考文献36

  • 1黄有度,苏化明.一种鱼眼图象到透视投影图象的变换模型[J].系统仿真学报,2005,17(1):29-32. 被引量:28
  • 2唐矫燕,赵群飞,杨汝清,吴心然.读书机器人机构设计[J].上海交通大学学报,2005,39(12):2025-2028. 被引量:12
  • 3周云燕,杨坤涛.基于RHT-LSM直线检测方法的研究[J].光电工程,2007,34(1):55-58. 被引量:16
  • 4张森,赵群飞,冶建科.一种数字图像几何畸变的自动校正方法[J].机电一体化,2007,13(3):60-64. 被引量:8
  • 5Brown M S, Seales W B. Image Restoration of Arbitrarily Warped Documents[J]. IEEE Transactions on Pattern Analysis and Machine/ntelligence, 2004, 26(10): 1295-1306.
  • 6Fu Bin, Wu Minghui, Li Rongfeng, et al. A Model-based Book Dewarping Method Using Text Line Detection[C]//Proc. of the 2nd International Workshop on Camera-based Document Analysis and Recognition. Curitiba, Brazil: [s. n.], 2007.
  • 7Zhang Zheng, Tan Chew Lira. Restoration of Images Scanned from Thick Bound Documents[C]//Proc. of 2001 International Conference on Image Processing. Thessaloniki, Greece: [s. n.], 2001.
  • 8Gatos B, Pratikakis I, Ntirogiannis K. Segmentation-based Recovery of Arbitrarily Warped Document Images[C]//Proc. of the 9th International Conference on Document Analysis and Recognition. Curifiba, Brazil:[s. n.], 2007.
  • 9Gatos B, Pratikakis I, Perantonis S J. Adaptive Degraded Document Image Binarization[J]. Pattern Recognition, 2006, 39(3): 317-327.
  • 10Ying X,Hu Z,Zha H.Fisheye lenses calibration using straight-line spherical perspective projection constraint[C] //ACCV,2006,Proc.of 7th Asian Conf.on Computer Vision.India:Hyderabad,ACCV,2006:591-600.

共引文献49

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部