众文网1.如何用MATLAB仿真印刷体汉字识别系统
Simulink是MATLAB最重要的组件之一，它提供一个动态系统建模、仿真和综合分析的集成环境。
那么如何使用matlab上建立simulink仿真呢？本文小编带你建立simulink仿真程序。方法步骤：打开matlab2014a程序建立方法之一：在主工具栏里边找到新建，然后选择simulinkmodel，点击即可建立。
建立方法之二：在主工具栏里点击simulink库，进入simulink库界面。2.在simulink库界面工具栏中选择file--new--model，或者直接按ctrl+N即可建立。
2.基于matlab的语音识别论文难不难
不难，我可以帮你写。
论文提纲可分为简单提纲和详细提纲两种。简单提纲是高度概括的，只提示论文的要点，如何展开则不涉及。这种提纲虽然简单，但由于它是经过深思熟虑构成的，写作时能顺利进行。没有这种准备，边想边写很难顺利地写下去。
编写要点
编写毕业论文提纲有两种方法：
一、标题式写法。即用简要的文字写成标题，把这部分的内容概括出来。这种写法简明扼要，一目了然，但只有作者自己明白。毕业论文提纲一般不能采用这种方法编写。
二、句子式写法。即以一个能表达完整意思的句子形式把该部分内容概括出来。这种写法具体而明确，别人看了也能明了，但费时费力。毕业论文的提纲编写要交与指导教师阅读，所以，要求采用这种编写方法。
3.用MATLAB做文字识别仿真
文字识别 要用神经网络。
具体参考神经网络的guide文件，关于 Character Recognition 应用：11-15Appcr1: Character RecognitionIt is often useful to have a machine perform pattern recognition. In particular, machines that can read symbols are very cost effective. A machine that reads banking checks can process many more checks than a human being in the same time. This kind of application saves time and money, and eliminates the requirement that a human perform such a repetitive task. The demonstration appcr1 shows how character recognition can be done with a backpropagation network.Problem StatementA network is to be designed and trained to recognize the 26 letters of the alphabet. An imaging system that digitizes each letter centered in the system's field of vision is available. The result is that each letter is represented as a 5 by 7 grid of Boolean values.For example, here is the letter A.Load the alphabet letter definitions and their target representations.[alphabet,targets] = prprob;However, the imaging system is not perfect, and the letters can suffer from noise.11 Applications11-16Perfect classification of ideal input vectors is required, and reasonably accurate classification of noisy vectors.The twenty-six 35-element input vectors are defined in the function prprob as a matrix of input vectors called alphabet. The target vectors are also defined in this file with a variable called targets. Each target vector is a 26-element vector with a 1 in the position of the letter it represents, and 0's everywhere else. For example, the letter A is to be represented by a 1 in the first element (as A is the first letter of the alphabet), and 0's in elements two through twenty-six.Neural NetworkThe network receives the 35 Boolean values as a 35-element input vector. It is then required to identify the letter by responding with a 26-element output vector. The 26 elements of the output vector each represent a letter. To operate correctly, the network should respond with a 1 in the position of the letter being presented to the network. All other values in the output vector should be 0.In addition, the network should be able to handle noise. In practice, the network does not receive a perfect Boolean vector as input. Specifically, the network should make as few mistakes as possible when classifying vectors with noise of mean 0 and standard deviation of 0.2 or less.ArchitectureThe neural network needs 35 inputs and 26 neurons in its output layer to identify the letters. The network is a two-layer log-sigmoid/log-sigmoid Appcr1: Character Recognition11-17network. The log-sigmoid transfer function was picked because its output range (0 to 1) is perfect for learning to output Boolean values.The hidden (first) layer has 25 neurons. This number was picked by guesswork and experience. If the network has trouble learning, then neurons can be added to this layer. If the network solves the problem well, but a smaller more efficient network is desired, fewer neurons could be tried.The network is trained to output a 1 in the correct position of the output vector and to fill the rest of the output vector with 0's. However, noisy input vectors can result in the network's not creating perfect 1's and 0's. After the network is trained the output is passed through the competitive transfer function compet. This makes sure that the output corresponding to the letter most like the noisy input vector takes on a value of 1, and all others have a value of 0. The result of this postprocessing is the output that is actually used.InitializationCreate the two-layer network with newff.net = newff(alphabet,targets,25);TrainingTo create a network that can handle noisy input vectors, it is best to train the network on both ideal and noisy vectors. To do this, the network is first trained on ideal vectors until it has a low sum squared error.Then the network is trained on 10 sets of ideal and noisy vectors. The network is trained on two copies of the noise-free alphabet at the same time as it is trained on noisy vectors. The two copies of the noise-free alphabet are used to maintain the network's ability to classify ideal input vectors.p1a111n1n235 x 110 x110 x 126 x 126 x 126 x 1Input26 x 10。
4.MATLAB平台下的汉字识别
《Visual+C++_MATLAB图像处理与识别实用案例精选》
程序代码说明
P0201:MATLAB赋值
P0202:MATLAB中的for循环
P0203:MATLAB中的for循环和if条件
P0205:MATLAB图像处理的基本操作
P0206:MATLAB高级图像处理操作
P0207：根据RGB图像创建一幅灰度图像
P0208：二值图像的取反操作
P0209：用imshow函数显示图像
P0210：在同一个窗口内显示两幅图像
P0301：数字图像矩阵数据的显示及其傅立叶变换
P0302：二维离散余弦变换的图像压缩
P0303：采用灰度变换的方法增强图像的对比度
P0304：直方图均匀化
P0305：模拟图像受高斯白噪声和椒盐噪声的影响
P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
P0308：图像的自适应魏纳滤波
P0309：运用5种不同的梯度增强法进行图像锐化
P0310：图像的高通滤波和掩模处理
P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理
P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理
P0401：用Prewitt算子检测图像的边缘
P0402：用不同σ值的LoG算子检测图像的边缘
P0403：用Canny算子检测图像的边缘
P0404：图像的阈值分割
P0405：用水线阈值法分割图像
P0406：对矩阵进行四叉树分解
P0407：将图像分为文字和非文字的两个类别
P0408：形态学梯度检测二值图像的边缘
P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象
P0502：计算图像中的欧拉数
P0610：神经网络的实例
P0701：细胞边缘检测
P0702：癌细胞形态学分析
P0703：癌细胞颜色分析
P0801：索书号文字图像分割
P0802：粘连字符切分
P0803：文字识别
P0804：彩色车牌分割
P0805：商标文字分割
Recognition：文字识别的识别子函数
StrDetect01：文字识别的结构特征提取子函数程序代码说明
P0901：灰度AGV路径识别
P0902：彩色AGV路径识别
P0903:HSI彩色空间的AGV路径识别
P0904：路径中心线的定位
P0905:Radon变换的AGV路径偏差检测
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5.基于matlab的语音识别论文难不难
不难，我可以帮你写。
论文提纲可分为简单提纲和详细提纲两种。简单提纲是高度概括的，只提示论文的要点，如何展开则不涉及。
这种提纲虽然简单，但由于它是经过深思熟虑构成的，写作时能顺利进行。没有这种准备，边想边写很难顺利地写下去。
编写要点 编写毕业论文提纲有两种方法： 一、标题式写法。即用简要的文字写成标题，把这部分的内容概括出来。
这种写法简明扼要，一目了然，但只有作者自己明白。毕业论文提纲一般不能采用这种方法编写。
二、句子式写法。即以一个能表达完整意思的句子形式把该部分内容概括出来。
这种写法具体而明确，别人看了也能明了，但费时费力。毕业论文的提纲编写要交与指导教师阅读，所以，要求采用这种编写方法。
6.求基于BP神经网络的英文大写字母的识别算法的MATLAB程序
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