1.
Concepts Semantic Similarity Research Based on Ontology
基于Hopfield神经网络的脱机手写数字识别
2.
Off-line Handwritten Digit Recognition Based on BP Artificial Neural Network
基于BP人工神经网络的脱机手写数字识别研究
3.
Research on Bangla Handwritten Numeral Recognition Using Directional Element Feature
基于DEF的孟加拉文脱机手写数字识别研究
4.
RESEARCH ON OFF-LINE HANDWRITTEN NUMERAL RECOGNITION BASED ON TEMPLATE MATCHING METHOD
基于模板匹配的脱机手写数字识别研究
5.
Off-ling Handwritten Recognition Algorithm based on Hopfield
基于Hopfield的脱机手写数字识别理论及算法
6.
Off-line Handwritten Digit Recognition Based on a new combination feature
基于一种新的组合特征的脱机手写数字识别
7.
Off-line Handwritten Digits Recognition Based on BP Neural Network;
基于BP神经网络的脱机手写体数字识别
8.
Off-line Handwritten Digits Recongnition Base on PSO-BP Neural Network
基于PSO-BP神经网络的脱机手写体数字识别
9.
The Research of Large-Set Offline Handwritten Chinese Characters Recognition;
大字符集脱机手写体汉字识别的研究
10.
Off-line Handwritten Chinese Character Recognition Based on Bandelet;
基于bandelet的脱机手写体汉字识别研究
11.
Research on Off-line Handwritten Chinese Character Recognition Based on SVM
基于SVM的脱机手写体汉字识别研究
12.
Offline recognition of hand-written Chinese characters based on a multi-Agent system
基于多Agent系统的脱机手写体汉字识别
13.
Practice in handwritten numeral recognition and off line handwritten Chinese character recognition strongly supports the ideas and the methods.
手写数字识别和脱机手写汉字识别的实际应用验证了所提的理论和方法。
14.
Integration of Fine Recognition in Off-line Handwritten Chinese Character Recognition
基于细识别的脱机手写体汉字识别的集成
15.
Research on Off-line Handwritten Character Recognition Based on Support Vector Machine;
基于支持向量机的脱机手写字符识别研究
16.
Algorithms Research on Thinning, Feature Extracting and Similar Chinese Characters Recognition for Off-line Handwritten Chinese Character Recognition;
脱机手写体汉字识别中细化、特征提取和相似字识别算法研究
17.
Hence, improve the correct rate of off-line handwritten Chinese character recognition.
从而进一步提高了脱机手写汉字识别的正确率。
18.
New Method of Optimal Sampling Features for Offline Handwritten Chinese Character Recognition
脱机手写汉字识别的最优采样特征新方法