A Fast Image Rotation Algorithm for Optical Character Recognition of Chinese Documents

摘要：

Optical Character Recognition (OCR) normally requires the input image to be properly positioned. If the input image is skewed, it is necessary to adjust the orientation by image rotation. However, commonly used rotation algorithms require a large amount of floating point computation. In this paper, we propose a new algorithm that can rotate an image by directly moving pixels according to the skewed angle and meanwhile avoid floating point computation. Experimental results based on Chinese documents show that the new algorithm improved the image rotation speed without affecting the correct recognition rate. The proposed algorithm has been applied in a reading robot to achieve real-time character recognition.

作者: Zhongda Yu Junyu Dong Zhiqiang Wei Jianxiang Shen

作者单位: Department of Computer Science,Ocean University of China Qingdao, Shandong, PRC Department of Electronic Engineering Ocean University of China Qingdao, Shandong, PRC

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 485-489

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）