手写识别

基于格式塔心理学的手写识别及MatLab仿真

Handwriting recognition based on Gestalt psychology and MatLab simulation

基于DSP的手写识别的采样

Data Sampling for Handwriting Recognition

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。

The Tablet PC 's handwriting recognition algorithms are brilliant intellectual accomplishments , as well as a major advance in human-computer interaction .

长期以来，它一直向诺基亚（Nokia）、三星（Samsung）以及其它公司提供触摸屏设备上的汉语和其它亚洲语言手写识别技术。

It has long provided the technology for Chinese and other Asian language handwriting recognition on touchscreen handsets to Nokia , Samsung and others .

联机手写识别系统（OLCCR）符合人的自然手写习惯，容易被人们所接受，因而具有非常广阔的应用前景。

On-Line Chinese Character Recognition ( OLCCR ) system accords with the nature habit when people write , so it can be easily accepted by people .

数学公式手写识别系统的研究与实现

Mathematical Formula Handwritten Recognition System Research and Implementation

所选语言将决定手写识别和校对工具所使用的词典。

The language you select determines which dictionaries are used for handwriting recognition and proofing tools .

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。

It allows a user to correct errors of Chinese handwriting recognition by repeating the handwriting in speech .

信息粒及其在脱机手写识别中应用的研究

Study on Information Granules and Its Application in Recognition of Off-line Handwritten Characters The Normalization of Handwritten Chinese Characters

基于上述方法对脱机手写识别英文字母的模板匹配算法进行了优化，说明了其有效性。

Based on the method , the template match algorithm is optimized and effectively applied to off-line handwritten English character recognition .

因为在默认情况下这些语言版本中未安装手写识别功能，您可能需要单独进行安装。

Because handwriting recognition is not installed by default in all of these languages , you may need to install it separately .

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。

The keyboard is really one of the selling points ; even a very small keyboard can be a big improvement over handwriting recognition .

经过四十多年的研究与发展，手写识别技术已经被广泛应用于各种设备中以方便人机交互。

The technology of handwritten character recognition has been widely used for human-computer interaction in many handheld devices after more than fourty years of effort by researchers .

而蒙古文字作为一种在蒙古族等少数民族地区流行的语言文字，研究它的手写识别方法对促进民族地区的信息与科技发展都是大有裨益的。

Mongolia language is very popular among the Mongolia people in the North China , so the research of online handwriting Mongolia words recognition has a far-reaching meaning about developing the Minority information technology and national culture .

基于小波变换和ART网络的手写数字识别

Handwritten Digital Recognition Based on Wavelet Transform and ART Neural Networks

BP神经网络的改进及其用于手写数字识别的研究

Improved BP neural net and its application to handwritten numeral recognition

基于BP人工神经网络的脱机手写数字识别研究

Off-line Handwritten Digit Recognition Based on BP Artificial Neural Network

将改进BP算法用于手写数字识别实验，结果表明，新算法有很好的实用价值。

The experiment results show that this improved BP algorithm has great utility value .

基于多通道PCA模型的手写汉字识别方法

A New Approach for Handwritten Chinese Character Recognition Based on Multi-Channel PCA Model

基于改进Hopfield神经网络的手写字符识别

Handwritten character recognition based on improved Hopfield neural network

MLDA+LDA：手写汉字识别中一种两级LDA分类方法

MLDA + LDA : A New Two-stage LDA Method of Handwritten Chinese Character Recognition

判断一个模式识别算法的优劣可以通过IRIS数据检测和手写数字识别的水平来体现。

The merit of a pattern recognition algorithm can be judged by the level of IRIS data detection and hand-written numeral recognition .

然后主要叙述了BP神经网络基本知识，讨论了本文图像特征提取的方法，给出了基于BP神经网络的手写数字识别串行算法仿真结果。

Then the basic knowledge of the BP neural network was described . The simulation results of handwritten numeral recognition serial algorithm based on BP neural network is given .

在探索手写字符识别的方法上采用了统计学习理论，利用支撑向量机SVM作为基本的识别工具。

Support Vector Machine ( SVM ) is used as the implementation basis , which is a tool of Statistical Learning Theory ( SLT ) .

本文介绍了用Visualc++6.O构造用于研究手写汉字识别的模拟系统，用软件方式实现手写输入。

This paper presents the design of a simulation system applied to study the recognition of handwritten Chinese character with Visual C + + 6 . 0 , and realizes handwritten input with software method .

SVM的发展，不但丰富和发展了统计学理论，而且在很多应用领域得到应用和推广，如：文本分类、手写体识别、人脸识别、WEB挖掘、回归分析等。

The development of SVM had not only enriched and developed the statistical theory , but also promoted in many application fields , such as text categorization , handwriting recognition , face recognition , Web mining , regression analysis .

掌上型计算机（palmPC）是一种新型、灵巧的个人数字助理（PDA），由于其没有键盘，目前采用软键盘或手写体识别作为主要的输入手段。

Palm PC is a kind of novel subtle personal digital assistant ( PDA ) . Without keyboard device , it currently adopts soft keyboard or handwriting recognition as its major input method .

目前，脱机手写汉字识别还处于发展阶段，现有的OCR（opticalcharacterrecognition，光学字符识别）技术对其进行处理的可靠性和准确性都难以满足实际需求。

At present , the recognition of off-line handwritten Chinese character is still in development stage , and the reliability and accuracy of the existing OCR ( optical character recognition ) technology are difficult to meet the actual demand .

本文针对脱线手写签名识别的特点，提出基于bandelet变换的特征选取方法。

Facing the characters of Off-line HSV , this paper proposes a method based on bandelet tansform .

本文在256M计算机内存环境下使用不同隐节点选取和几种改进方式进行改进BP神经网络手写数字识别实验。

In this article , I use different hidden node selection methods and several improved methods to do handwritten digit experiment under 256M computer inner environment .