A Distortion Correction Approach on Natural Scene Text Image

摘要：

A method of distortion rectification on natural scene text images is presented. The method consists of two steps: 1) endpoints are extracted from the classified tip points using mathematical morphology operators, and then these tip points are classified in accordance with the location of the line using the nearest neighbor method. Secondly the text baseline is obtained based on the least-square method. Finally the RANSAC estimation method is used to select the optimal baseline and from which the line corresponding to the vanishing point is fitted. 2) The deformation parameters of images which contain in homography matrix are calculated, and then the front view image is achieved by homography matrix. The experiment results show that the recognition rate in deformed scene images has improved significantly after image correction using this method.

关键词： natural scene perspective distortion text image rectification

作者: Yin Fang Chen Deyun Wu Rui

作者单位: School of Computer Science and Technology,Harbin University of Science and Technology,Harbin China School of Computer Science and Technology,Harbin Institute of Technology,Harbin China

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 1058-1061

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）