| 基于多重HMM的脱机手写汉字识别 |
| |
| 引用本文： | 陈景波,杨浩东,孙斌.基于多重HMM的脱机手写汉字识别[J].常熟理工学院学报,2007,21(2):85-90. |
| |
| 作者姓名： | 陈景波 杨浩东 孙斌 |
| |
| 作者单位： | 1. 常熟理工学院,信息与控制工程系,江苏,常熟,215500
2. 西北工业大学,电子信息学院,陕西,西安,710072 |
| |
| 摘 要： | 介绍了一种基于多重隐马尔克夫模型(Multiple HMM——MHMM)的手写体汉字识别新方法。该方法首先提取基于区域投影变换形成的边界链码特征,对每个汉字建立4个HMM,通过等比重综合方法将4个分类器的计算结果进行综合,从而得到识别结果。实验结果证明该方法较传统的HMM具有更高的抗干扰能力和更高的识别率。
|
| 关 键 词： | 隐马尔克夫模型 手写汉字识别 投影变换 |
| 文章编号： | 1008-2794（2007）02-0085-06 |
| 收稿时间： | 2006-05-05 |
| 修稿时间： | 2006年5月5日 |
Off- line Handwritten Chinese Characters Recognition Based on MHMM |
| |
| CHEN Jing-bo,YANG Hao-dong,SUN Bin.Off- line Handwritten Chinese Characters Recognition Based on MHMM[J].Journal of Changshu Institute of Technology,2007,21(2):85-90. |
| |
| Authors: | CHEN Jing-bo YANG Hao-dong SUN Bin |
| |
| Abstract: | A new method of handwritten Chinese character recognition using multiple hidden Markov model is presented.Combined with the contour chain codes by sub-region projection transform,this method firstly constructs 4 HMMs for each Chinese character,and synthesizes the results of the 4 HMMs by equal proportion method,and then gets the final recognition result.Experimental results demonstrate that this method has more anti-jamming ability and higher recognition rate than the traditional hidden Markov model. |
| |
| Keywords: | hidden Markov Model handwritten Chinese character recognition projection transform |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
