张德喜1,马少平2,朱绍文1,金奕江2. 基于统计与神经元方法相结合的手写体相似字识别[J]. 中文信息学报, 1999, 13(3): 34-40.
Zhang Dexi1 , Ma Shaoping2 , Zhu Shaowen1 , Jin Yijiang2. Handwritten Similar Chinese Characters Recognition Based on Combining Statistics with Neural Networks Method. , 1999, 13(3): 34-40.
Handwritten Similar Chinese Characters Recognition Based on Combining Statistics with Neural Networks Method
Zhang Dexi , Ma Shaoping , Zhu Shaowen , Jin Yijiang
1.Institute of Electronics and Computer , Central China Normal University 2.Department of Computer Science and Technology , Tsinghua University ; State Key Laboratory of Intelligent Technology and System
Abstract：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.
1999, Vol. 13 
