手写识别
It allows a user to correct errors of Chinese handwriting recognition by repeating the handwriting in speech.
该方法允许用户通过口述书写内容纠正手写识别中的字符提取和识别的错误。
The keyboard is really one of the selling points; even a very small keyboard can be a big improvement over handwriting recognition.
这个键盘是一个真正的卖点；相对于手写识别来说，即使是一个非常小的家盘也是非常大的改进。
Useful for handwriting recognition and interfaces with smaller control elements.
便于手写识别，有助于在使用小控制元素的界面下进行操作。
The proposed methods make the whole preprocessing subsystem more stable and perfect, which lays a dependable foundation for subsequent handwriting recognition.
该算法使得整个预处理子系统更加稳定与完善，为后续的笔迹鉴别提供了可靠的保证。
At present techniques of recognizing printed text is mature; and most researches are focus on handwriting recognition.
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。
A novel recognition method called Active Discriminant Function (ADF) for handwriting recognition is presented.
提出了一种新的基于主动判别函数的手写体识别方法。
Some new methodsareproposed for on-line cursive handwriting recognition.
提出了一些新的方法来解决联机英文手写识别问题。
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.
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。
The system comprises a display device, an absolute coordinate location module, a handwriting recognition module and a handwriting inputting structure.
该系统包括显示装置、绝对坐标定位模块、笔迹识别模块以及笔迹输入结构。
The language you select determines which dictionaries are used for handwriting recognition and proofing tools.
所选语言将决定手写识别和校对工具所使用的词典。
Others have built such a dream device, but none has yet overcome the problem of input: typing on a screen is difficult and handwriting recognition has never really worked.
其他厂家也曾经尝试推出这种梦幻设备，但是他们都没能克服一个问题：屏幕输入很困难，而手写识别率低的可怜。
The Error Reporting for Handwriting Recognition will only report to Microsoft if the user expressly desires it to. Through IME Word Registration, Microsoft will receive Word registration reports.
手写识别的错误报告只会在用户强力要求通过名称字注册时才会传送给微软。
As the most ****** and directive method of man-machine conversation, handwriting recognition technique played an important role in intelligent device.
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。
Similarly, Stahovich explains, handwriting recognition systems exploit regularities that are unique to language.
相同地，斯塔霍维奇解释道，手写字识别系统利用语言独特的规律。
That's one of the reason which I bought it. Also, the handwriting recognition is fantastic!
这也是我买这款手机的原因之一啦。并且，手写功能用起来很棒！
This paper primarily discussed Online Handwriting Recognition methods for Mongolia words.
本论文主要论述了联机手写蒙古文字识别技术。
This technology is still under considerable development, and most handwriting recognition programs require users to form letters and words in a very consistent and clear manner to work adequately.
这种技术仍处在大力开发中，大多数手写识别程序要求用户以非常一致和清楚的方式构成意思协调的字符和词。
Processing financial document automatically is a very important topic, and has become one of the most promising commercial applications of handwriting recognition.
金融票据自动处理系统以其较高的学术价值和应用价值越来越受到国内外众多著名研究机构以及学者的广泛重视。
Examples with current technology include speech and handwriting recognition systems that improve the accuracy of their recognition as they become familiar with the user's style.
比如目前的技术包括言语和手写识别系统，当系统熟悉了用户的风格后，就可以提高识别的准确率。
Now there are many products of online handwriting recognition of Chinese characters and English characters.
现在有很多汉字和英文的联机手写识别产品问世。
It has long provided the technology for Chinese and other Asian-language handwriting recognition software on touchscreen handsets for Nokia, Samsung and others.
长期以来，它一直向诺基亚、三星以及其他公司提供触摸屏设备上的汉语和其他亚洲语言手写识别技术。
For example, suppose that you were testing handwriting recognition in the VTech Helio Emulator that Figure 2 shows.
例如，假如您正在测试一个图2中显示的VTechHelioEmulator中的手写识别。
The Tablet PC's handwriting recognition algorithms are brilliant intellectual accomplishments, as well as a major advance in human-computer interaction.
TabletPC手写识别算法和人机交互的发展是非常卓越的智力成就。
New paradigm was adopted to exam stroke effect of Chinese character handwriting recognition in the second experiment, which is called stroke-leaving.
实验二采用新的研究方法一笔画拆除法，考察了手写汉字检测的基本笔画效应。
手写识别（Handwriting Recognition）是指通过计算机技术将人类手写的文字或符号转化为可编辑、可搜索的数字化信息的过程。该技术结合了模式识别、图像处理和机器学习等多个学科领域，广泛应用于智能设备输入、文档自动化、教育评估等场景。
从技术原理来看，手写识别主要分为两个阶段：
手写输入采集
通过触控屏、数字笔或扫描仪等设备获取手写轨迹的原始数据。例如，平板电脑通过压感技术记录笔迹的坐标、压力和时间序列信息。
字符识别与分析
利用算法对输入数据进行预处理（如降噪、归一化）、特征提取（如笔画方向、曲率）和分类识别。常见的模型包括卷积神经网络（CNN）和长短时记忆网络（LSTM），能够适应不同书写风格和连笔字。
实际应用包括：
手写识别的挑战在于处理个体书写差异、多语言混合输入及上下文语义理解。例如，中文手写因字形复杂需更高精度的分割算法（参考来源：IEEE模式识别期刊）。
手写识别（Handwriting Recognition）是指通过计算机技术将人类手写的文字或符号转换为可编辑、可搜索的数字化文本的过程。其核心目标是让机器理解并“读懂”手写内容，具体可从以下角度展开：
在线识别（Online）
实时捕捉书写轨迹，例如通过触控笔、触摸屏等设备记录笔迹的坐标、压力、速度等信息。常见于平板电脑、电子签名板等场景。
离线识别（Offline）
处理静态图像中的手写内容（如扫描文档或照片），仅依赖视觉特征分析，技术难度更高。
当前技术已逐步从传统算法转向端到端深度学习模型（如CRNN、Transformer），结合大数据训练显著提升了准确率。未来或进一步融合个性化适配技术，实现“一人一模型”的定制化识别。
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