目前印刷体识别技术已经比较成熟，研究的重点是手写体识别技术。
At present techniques of recognizing printed text is mature; and most researches are focus on handwriting recognition.
手写体识别作为一种最简单直接的人机交互手段，在智能设备中有重要作用。
As the most simple and directive method of man-machine conversation, handwriting recognition technique played an important role in intelligent device.
近年来，支持向量机在手写体识别、人脸识别、文本分类等领域取得了很大的成功。
Recent years, support vector machine has obtained great success in the fields of handwriting identification, human face identification, text classification and so on.
论文讨论了一种通过自然语言语义层次的理解来协助提高脱机手写体识别率的方法。
In this paper, we discuss a new method to effectively improve offline handwritten character recognition through semantic analysis.
脱机手写体识别是字符识别中的难点之一，日文中的平假名类似于中文的手写体草书。
Hiragana is similar to Chinese cursive writing which is a difficult topic in character recognition field.
它们的输入功能局限于几个按键或数字键，或者像个人数字助理（PDA）手写体识别功能那样，输入数据要花很长时间，它们所拥有的工作处理能力和内存都较小。
Their input capabilities are limited to a few buttons or numbers, or entering data takes extra time, as happens with a personal digital assistant's (PDA) handwriting-recognition capabilities.
但是由于手写体笔迹变动非常大，精确识别比较困难。
Because of large variation of handwriting, exact recognition is very difficult.
针对手写体汉字识别过程中的特征抽取，提出了一种改进的抽取笔画平面的方法。
According to the feature extraction of the handwritten Chinese character recognition, an improved extracting stroke plane method was proposed.
通过对神经网络集成的理论分析，提出了一种多级神经网络结构的手写体汉字识别模型。
By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
用神经网络识别手写体数字，大多数采用的是单个的神经网络结构。
Most of the neural network handwritten digits recognition systems adopt a net - work with single structure.
通过测试，本识别系统对于较规范的手写体数字的识别达到了很好的识别效果。
Recognition system in this paper has achieved a good rate of recognition in random handwritten numeral by test.
手写体汉字的识别试验验证了所给方法的有效性。
The experiments of handwritten Chinese character recognition show the effectiveness of the proposed approach.
本文论述并设计实现了一个手写体数字识别系统。
This paper discusses how to design and develop a system for recognition of handwritten digits.
这些融合策略经联机手写体汉字识别系统测试，系统性能有了较大提高。
These strategies are experimentally tested on online handwritten Chinese character recognition system and their effectiveness is considered.
手写体数字识别系统用于数据信息的采集。
Handwritten numeral Recognition System is used to obtain numeral information.
构建一种基于反馈结构的手写体汉字识别系统。
A system of handwritten Chinese characters recognition based on feedback structure is constructed.
研究了基于自适应特征融合及模块神经网络的手写体汉字识别。
I studied the handwritten Chinese character recognition techniques based on adaptive information fusion and module neural networks.
文章提出了一种基于多重隐马尔可夫模型和区域投影变换的手写体汉字识别新方法。
A new approach for handwritten Chinese character recognition based on multiple hidden Markov model classifiers and sub-region projection transform is proposed in the thesis.
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。
It proposes new boundary feature extraction way of handwritten numeral recognition, which is simple and effective.
提出了一种识别自由手写体数字的新方法。
A new recognition method for free handwritten Numbers is presented in the paper.
将这些壳系数输入前馈神经网络簇，以识别该手写体数字。
The shell coefficients are used as features to input into a feed-forward neural network to recognize the handwritten numerals.
把这种动态组合方法具体应用到手写体数字的识别中，实验结果同样证实了它的可行性。
This method is applied in hand-written number recognition and experiment results also approve its feasibility.
本文提出一种联机识别自然手写体汉字的多分类器集成模型。
In the paper, a new multiple classifiers integrated model of online recognizing natural handwritten Chinese character is presented.
手写体汉字书写变形是手写体汉字识别预处理阶段的重要问题之一。
Stroke deformation is an important factor to effect the performance of the handwritten Chinese character recognition system.
采用该特征对有限集手写体汉字进行识别，初步实验结果表明该方法十分有效。
The result of experiment shows high recognition rate which indicates that the method is very effective.
银行支票手写体汉字大写金额识别的实验结果表明应用模糊子笔画统计特征能取得更好的识别效果。
Experiments of handwritten legal amount recognition on Chinese check show that the fuzzy sub-stroke statistical feature proposed in this paper is more effective.
本文主要研究BP神经网络在脱机手写体数字识别方面的应用。
In this paper we give a kind of handwritten digits recognition method based on BP neural network.
许多实际的模式识别问题如对手写体汉字的识别，都属于大规模的模式识别问题。
Many practical pattern recognition problems, such as recognition of handwritten Chinese characters belong to the pattern recognition problems of large scale.
将模糊特征提取技术与区组设计前馈网络相结合用于手写体数字识别。
Fuzzy feature extraction and block design feedforward networks are employed to recognize handwritten digits.
将模糊特征提取技术与区组设计前馈网络相结合用于手写体数字识别。
Fuzzy feature extraction and block design feedforward networks are employed to recognize handwritten digits.
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