论文主要讨论如何结合结构方法和神经网络的技术，来实现哈萨克语手写文字识别系统的实现。
The main theme of this paper is the automatic recognition of hand-written kazakh characters using artificial neural networks in addition to conventional techniques.
这台机器能识别手写的文字并将其转换为打印文本。
The machine can recognize handwritten characters and turn them into printed text.
您可以在笔记本电脑上记笔记，就像平时书写一样，程序会将您的手写文字转换成文本，但经本人测试，识别率有待提高。
You can leave notes in a notebook just as you wrote them or convert your scribbles into text, with more misses than hits in my test.
本论文主要论述了联机手写蒙古文字识别技术。
This paper primarily discussed Online Handwriting Recognition methods for Mongolia words.
最后，用子空间分类器和BP神经网络分类器构造了一个混联模型，用于手写英文字母和数字的识别。
A mix model with the subspace classifier and BP neural network classifier was realized, which is used in handwritten English letter and number recognition.
选定此复选框以启用记事本和其他程序的高级文字服务。记事本和其他程序通常不支持语音识别、手写识别和其他高级输入服务。
Select this check box to turn on advanced text services in Notepad and other programs that do not normally support speech and handwriting recognition or other advanced input services.
手写输入时无需转换，自动识别文字、英文字母大小写、阿拉伯文、阿拉伯数字、葡萄牙文、越南文。无需转换，应用快捷而方便。
No need to change handwritten input, automatic identification of words, case letters, Arabic, Arabic number, Portuguese, Vietnamese. without conversion and application fast and convenient.
该文就自动评阅系统中手写英文字母的识别问题提出一种简单高效的识别方法。
Aimed at the Recognition of Handwritten English Alphabet in Automatic Judge System, the paper presents a simple and effective method.
本项目的背景是基于手写体文字识别技术的铁路轮轴卡片（表格）光电录入系统。
The background of this project is to develop the OCR Based Automated Entry and Management System of Maintaining Cards of Train Wheels for a certain railway unit.
该文使用了网格搜索和双线性搜索两种方法进行参数选择，并将两者的优点综合。应用于脱机手写体英文字符识别。
This paper uses grid search and two-line search to select the two parameters, and combines the advantage of the two methods to the application on Handwritten English Character Recognition.
该文使用了网格搜索和双线性搜索两种方法进行参数选择，并将两者的优点综合。应用于脱机手写体英文字符识别。
This paper uses grid search and two-line search to select the two parameters, and combines the advantage of the two methods to the application on Handwritten English Character Recognition.
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