摘要
本文在传统Hopfield ANN基础上,对汉字识别某些方式提出一种新的方法,并在输出匹配的可行性上进行新的探索。在汉字字库的建立方法上提出新的观点。研究表明,本文所述方法是行之有效的,提高了汉字识别率。
This paper proposes a new way on Chinese characters recognition, based on traditional Hopfield ANN. An approach to this method is made on outputmatching. Instead of using updated result directly, we set up a character database and output from this database.
Using traditional Hopfield ANN only, we often obtain recognition results unclearly or unsatisfactorily. Experiments show that the way proposed here is efficient. The rate of Chinese characters recognition is improved.
出处
《计算机应用与软件》
CSCD
1999年第3期26-29,25,共5页
Computer Applications and Software
关键词
汉字识别
人工神经网络
模式识别
汉字信息处理
Weight, associative memory, match, threshold, update, unorthogonal samples.