摘要
为了降低单个汉字的分辨率，论文分析了通用的汉字识别模型，并在此基础上建立了适于多字识别的集群识别模型。为了充分论证集群识别模型的观点，本文从理论证明和实验两方面获得支持根据。实验结果表明基于多字识别模型的集群识别能可靠提高对连续文字的识别效果，是手写汉字识别中很有希望的发展方向。
In order to decrease the of single handwritten Chinese character recognition,this paper discuesses the gerenal model of Chinese character recognition.Based on the discussion,the paper proposer the model of multi-character recognition.To fully support multi-character recognition,the paper supplies theory certification and experiment results.Our experiment results show that multi-character recognition can increase text recognition rate and is hopeful developing direction for handwritten Chinese character recognition.
出处
《中文信息学报》
CSCD
北大核心
1998年第4期1-8,共8页
Journal of Chinese Information Processing
基金
中国博士后科学基金
关键词
手写体汉字识别
汉字识别模型
集群识别
Handwtitten Chinese character recognition,Chinese character recognition model,Multi-character recognition.
