Document Image Skew Adjusting Based on the Feedback Information Recognized by OCR

摘要：

Document image skew adjusting is just a very important step in the course of image processing, for skew images can cause the characters to be deformed obviously and then the latter recognized effect could decline rapidly. This paper puts forward a new detecting method to obliquity. It can choose detecting method on the basis of feedback information which is recognized by OCR, thus to some extent it overcomes a certain algorithms flaws that have not a good universality to all the texts.

关键词： skew detection OCR feedback information recognized by OCR universality

作者: Xiaoling Fu Yazhuo Xu Lijing Tong

作者单位: Department of Computer Science College of Information Engineering, NCUT Beijing, China Department of Computer Science College of Information Engineering NCUT Beijing, China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Information and Education Technology(ICIET 2011)(2011年信息和教育技术国际会议)

会议地点: 贵阳

会议语种:英文

页码: 1-3

在线出版日期: 2011-01-26（万方平台首次上网日期，不代表论文的发表时间）