摘要
本文通过对现在流行的各种识别技术的分析比较,以及对吾美藏文手写体特征的深入分析研究,提出了一套基于BP神经网络分类器的吾美藏文OCR识别方案。基于该技术,开发出一个吾美藏文识别系统。结果表明,依赖特定人的辅音字母识别率达到95%以上。
The paper mainly discussed the recognition techniques of off-line handwritten Wumei font style. After a careful study of popular recognition techniques and the features of Wumei font style, we proposed a technique of off-line handwritten Wumei font style that is a Tibetan recognition plan based on the BP neural network classification. The recognition rate for consonants of certain person reached 95 %.
出处
《贵州科学》
2012年第2期49-51,共3页
Guizhou Science
关键词
手写识别
吾美藏文
神经网络
特征提取
handwritten recognition
Wumei Tibetan
neural network
characteristic stroke
