Chinese Character Recognition Based on Character Reconstruction
A completely new and effective algorithm for Chinese character recognition is proposed in this paper. The recognition is based on character reconstruction. And then we can obtain a new normalized character. Through character reconstruction we can reduce the error brought by the blur and the tilt of the original image. We first obtain the structure information of the original character and then we reconstruct a new character according to our rules. The structure information includes the information of the horizontal lines, the vertical line, the bias lines and dot. Then we compare the sample character and the template character and obtain the recognition result. A large number of experiments prove the robustness and high performance of the algorithm. The recognition rate of this algorithm is 96％. It can bear image’s blur and tilt.
Yun Li Mei Xie
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
国际会议
2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)
成都
英文
460-463
2009-07-23（万方平台首次上网日期，不代表论文的发表时间）