1.
The Scientific Grouping Method(SGM) and Its Application in Teaching Foreigners the Chinese Characters
分类识字法及其在对外汉语教学中的应用
2.
Study on Phrase Classifier in Chinese Character Recognition
汉字识别中以词为分类单位的分类器研究
3.
A on-line stroke based multi-level handwriting Chinese character recognition method
识别联机手写体汉字的多级分类方法
4.
Parallel Algorithms For Prelimirary Classification In Chinese Character Recognition
关于汉字识别粗分类并行算法的研究
5.
Investigating the Features of Knowledge Classification in Ancient China--With Special Reference to the Three Character Classic
从《三字经》看中国古代的知识分类
6.
A Method of Stroke Classification and Recognition in On line Handwritten Chinese Character Recognition
联机手写体汉字识别中的笔划分类及笔划识别
7.
Application of the Clustering Analysis in the Large Vocabulary Chinese Character Recognition;
聚类分析及其在大类别汉字识别中的应用
8.
Study on Chinese Character Recognition System Based on Neural Network Classifier
基于神经网络分类器的汉字识别系统研究
9.
An Application of Bayesian Classifier in the Recognition of Handwritten Chinese Character
贝叶斯分类器在手写汉字识别中的应用
10.
Neural Networks Combined System for Handwritten Chinese Character Recognition
手写体汉字识别纯神经网络多分类器集成
11.
A Neural Network Method Combined with Distance-classifier for Handwritten Chinese Character Recognition
结合距离分类器的神经网络手写体汉字识别
12.
The Recognition of Chinese Characters Using Black Pel Density for Preliminary Classification and Amplitude Spectrum of Projection Profiles
用笔划密度预分类与轮廓投影辐值谱识别汉字
13.
Digital Identification and Knowledge Integretation for Biological Taxonomy;
基于数字化的生物分类鉴定及知识集成研究
14.
Revolving Invariance Printing Numerals Recognition Based on Combined Classifier;
基于多分类器组合旋转不变的印刷体数字识别
15.
An Unconstrained Handwritten Numerals Recognition Way Based on Combined Classifier;
基于组合分类器的自由手写体数字识别方法
16.
Simple Application of Neural Network in the Classification and Numeral Recognition
神经网络在分类和数字识别中的简单应用
17.
A off-Line Handwritten Chinese Character Recognition Based on the Binary Tree of SVM Multi-Classification
基于二叉树多层分类SVM的脱机手写体汉字识别
18.
Research of character identifying method about least Hamming distance classifier
最小海明距离分类器的字符识别方法研究