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1)  Off line handwritten numeral recognition
脱机手写体数字识别
2)  offline handwritten numeral recognition
脱机手写数字识别
1.
The performance of the statistical approach to offline handwritten numeral recognition is improved using the Gaussian mixture model (GMM) to approximate an arbitrary class conditional probability density.
在基于统计方法的脱机手写数字识别中 ,为更加有效地描述特征的类条件概率分布 ,设计出性能优良的 Bayes分类器 ,采用了混合 Gauss模型。
3)  off-line handwritten Chinese character recognition
脱机手写体汉字识别
1.
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
2.
The proposed off-line handwritten Chinese character recognition system was composed of a feature extraction module and a recognition module.
提出的脱机手写体汉字识别系统主要研究特征提取和分类识别两个模块。
3.
This paper researches on feature extraction methods for off-line handwritten Chinese character recognition applied to automatic recognition of financial bills.
针对金融票据自动识别应用中的脱机手写体汉字识别进行特征提取的研究,首先提出了用Gabor特征和Zernike矩特征来分别表征汉字的局部特征和全局特征。
4)  Offline Handwritten Character Recognition
脱机手写体识别
1.
A Method for Improving Offline Handwritten Character Recognition Based on Semantic Analysis;
基于语义分析提高脱机手写体识别率的方法
5)  handwritten numeral recognition
手写体数字识别
1.
This paper studies handwritten numeral recognition.
主要研究了手写体数字识别的特征提取方法,并提出了一种新的边界特征提取方法。
2.
Handwritten numeral recognition belongs to the field of pattern recognition, which is a hot field for a large number of researchers and also is a critical step in entry of information.
手写体数字识别是目前模式识别领域众多研究者关注的一个热点,是信息录入的关键步骤,广泛应用于公安、税务、交通、金融、教育等行业的实践活动中。
6)  handwritten digital recognition
手写体数字识别
1.
The handwritten digital recognition was implemented with the advantages of the powerful interface programming capability in VC++.
文中所述就是利用这一技术来进行手写体数字识别,并取得了很好的效果。
2.
The handwritten digital recognition is an important problem of pattern recognition field.
手写体数字识别问题是模式识别领域的一个重要研究课题。
3.
To promote the research and application of handwritten digital recognition technology, the superiority of statistical unrelated optimal discriminant transform in handwritten digit recognition was presented and certified.
为了进一步深入研究推广手写体数字识别技术,介绍并验证了具有统计不相关性的最佳鉴别变换在手写体数字识别中的优越性。
补充资料:手写体
1.文字或拼音字母的手写形式。区别于"印刷体"。过去印刷体与手写体差别较大。今则新字形印刷体与手写体基本上一致;手写体拼音字母亦与印刷体拼音字母渐趋一致。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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