摘要
本文提出了一种基于统计识别方法与人工神经元网络相结合的手写体相似汉字识别方法。该方法充分利用了统计识别方法和神经元网络识别方法的优点，不仅显著地提高了相似字的识别率，而且有效地提高了系统的整体性能。对相似字的识别率由７９．０２％提高到８４．３２％，提高了五个百分点，整体识别率提高了１．３个百分点。
This paper presents a method to recognize handwritten similar Chinese characters based on combining statistics model recognition method with artificial neural networks (ANN). This method takes advantage of the peculiarities of above two methods efficiently. It not only increases the recognition rate to similar Chinese characters, but also improves the performance of the system .The recognition rate to similar Chinese characters can be improved from 79.02% to 84.32%, about 5 percentage points improving; the recognition rate to system can be improved about 1.3 percentage points.
出处
《中文信息学报》
CSCD
北大核心
1999年第3期33-39,共7页
Journal of Chinese Information Processing
基金
国家自然科学基金
国家863高科技项目
关键词
神经元
汉字识别
相似字识别
手写体
统计识别
neural networksChinese characters recognitionsimilar Chinese characters recognition
