| 工程图纸自动输入字符识别的二维隐性马尔可夫模型方法 |
| |
| 引用本文： | 张引,潘云鹤.工程图纸自动输入字符识别的二维隐性马尔可夫模型方法[J].计算机辅助设计与图形学学报,1999,11(5):403. |
| |
| 作者姓名： | 张引 潘云鹤 |
| |
| 作者单位： | 浙江大学CAD & CG国家重点实验室,杭州,310027;浙江大学人工智能研究所,杭州,310027 |
| |
| 基金项目： | ：本文得到“八六三”智能计算机主题资助(No.863-306-04-03)． |
| |
| 摘 要： | 在分析了语音识别的一维马尔可夫模型(1D-HMM)方法的基础上，采用二维马尔可夫模型(2D-HMM)方法识别工程图纸中的各类印刷体汉字、较规范的手写仿宋体汉字、英文及阿拉伯数字，适用于多字体、倾斜字符识别等情形，抗噪声能力强，取得了较高的识别率.
|
| 关 键 词： | 隐性马尔可夫模型 矢量量化 字符识别 特征选择 |
| 修稿时间： | 1998-05-04 |
2D-HMM BASED CHARACTER RECOGNITION OF THE ENGINEERING DRAWING |
| |
| ZHANG Yin,PAN Yun-He.2D-HMM BASED CHARACTER RECOGNITION OF THE ENGINEERING DRAWING[J].Journal of Computer-Aided Design & Computer Graphics,1999,11(5):403. |
| |
| Authors: | ZHANG Yin PAN Yun-He |
| |
| Abstract: | In this paper, after the analysis of the HMM approach in speech recognition, a new character recognition method for the engineering drawings based on 2D HMM is presented. This method can recognize the printed and handwriting Simulant Song Font Chinese character, English character and digit extracted from engineering drawings with high recognition accuracy. It is also suited for the case of multi type fonts, slant character recognition with high tolerance to distortion and blur. |
| |
| Keywords: | HMM vector quantization optical character recognition feature selection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
