摘要
运用粗网格理论,提出了一种基于改进的粗网格的藏文字符特征提取方法。用该方法提取的字符特征能有效地减少因图像中像素位置变化造成的识别率下降的影响。并在一定程度上克服了藏文字符过多而造成的误识别率过高的缺点。与方向线素法相比较,该方法对印刷体藏文字符特征提取具有比较高的识别率。
A feature extraction approach for printed Tibetan character based on the improved rough grid is proposed in the paper. The extracted feature by using the new method can effectively decrease the influence that caused by the decline in the rate of recognition part due to the change of pixel＇s position in the image. The method can not only overcome high probability of misrecognition due to numerous Tibetan characters, but also by compared with the direction line element approach and non-modified rough grid, this method to extract feature also has the high recognition precision.
出处
《科学技术与工程》
2009年第18期5546-5548,共3页
Science Technology and Engineering
基金
江苏省教育厅资助项目(2005DX006J)资助
关键词
藏文字符识别
改进的粗网格
特征提取
Tibetan character recognition modified rough grid feature extraction
