Description: his project is my trial to make an OCR (Optical Character Recognition) program
Before i made this project I v looked at other OCR projects, but in all of them i v seen NNT (Neural Net) and this is VERY COMPLICATED!!!
i wan t to make a simple project, without NNT so i thought about arrays, and guess what - It worked!
This is a very simple project, it knows how to recognize only 5 numbers (1 to 5) and it is a litle bit slow.... but not to much ( After all, its Microshit and VB :) )
How to use:-his project is my trial to make an OCR (Optical Character Recognition) program Before i made this project I v looked at other OCR projects, but in all of them i v seen NNT (Neural Net) and this is VERY COMPLICATED!!! i wan t to make a simple project, without NNT so i thought about arrays, and guess what- It worked! This is a very simple project, it knows how to recognize only 5 numbers (1 to 5) and it is a litle bit slow.... but not to much ( After all, its Microshit and VB :) ) How to use: Platform: |
Size: 83968 |
Author:111 |
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Description: 利用BP神经网络进行字符识别的系统源码，能进行有效数字字符识别。-BP neural network Character Recognition system source code, can be effective digital character recognition. Platform: |
Size: 1024 |
Author:包芳 |
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Description: BP神经网络的C语言实现,BP神经网络解决异或问题,HMM的C语言实现,矢量量化的C语言实现-Neural Network C language, BP neural network solutions differences or problems, HMM C language, vector quantization C Language Platform: |
Size: 112640 |
Author:吴德烽 |
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Description: OCR字符识别源代码，基于神经网络，用C#写的 -OCR character recognition source code, based on neural network, using the C# to write Platform: |
Size: 54272 |
Author:谭剑 |
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Description: 基于神经网络的文字识别系统,它通过遗传算法实现。-Neural Network Based Character Recognition system, which through genetic algorithm. Platform: |
Size: 199680 |
Author:张德龙 |
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Description: This code recognizes typed latin optical characters and outputs the corresponding Unicode value and character. It is implemented using Artificial Neural Network methods and can be trained for any available font type.-This code recognizes typed latin optical c haracters and outputs the corresponding Unico de value and character. It is implemented using Artificial Neural Network methods and can be tr ained for any available font type. Platform: |
Size: 1299456 |
Author:Toby |
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Description: 模式识别中的脱机字符识别，包括手写数字识别之Fisher线性判别，手写数字识别之模板匹配法，数字识别之神经网络法及细化算法。-pattern recognition of Offline Character Recognition, including handwritten digital identification Fisher Linear Discriminant. Handwritten identification template matching, digital identification neural network and refinement algorithm. Platform: |
Size: 203776 |
Author:林晓芸 |
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Description: 用Java实现的多层BP神经网络，用于颜色和字符识别-using Java multi-storey BP neural network, for the color and character recognition Platform: |
Size: 34816 |
Author:wenwen |
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Description: 基于神经网络的文字识别系统, 基于神经网络的文字识别系统-based on neural network language identification system Neural Network Based Character Recognition System Platform: |
Size: 199680 |
Author:黄黄 |
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Description: there are some newly released Neural Network Example Programs for Character Recognition, which based on Image Processing Toolbox,Neural Network Toolbox in MATLAB, which is quite informative for the beginners in Neural networks applicators-there are some newly released Neural Network Example Programs for Character Recognition, which based on Image Processing Toolbox, Neural Network Toolbox in MATLAB, which is quite informative for the beginners in Neural networks applicators Platform: |
Size: 12288 |
Author:宏姬 |
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Description: 本代码是基于神经网络的文字识别系统，目录主要包括：文档和两个源代
其中源代码是识别程序的，另一个是矩阵类库的。
已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络，不过要注意训练样本的选择，否则可能识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下训练样本数目尽量多。-This code is based on neural network character recognition systems, the directory include: two source documents and source code generation which is to identify the procedure, and the other is the matrix class library. Has been preserved trained network weights, so the identification procedures used for the first time, you can directly run the Release directory of the executable file, and then on the picture of the test directory to read into the picture, identification. Of course, we can use training samples to train the network, but attention should be paid to training samples, otherwise it may be very low recognition rate. Training sample selection principle is that, as far as possible have representation in the training time not too long a number of cases as many as possible training samples. Platform: |
Size: 83968 |
Author:spurs |
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Description: Character Recognition Using Neural Networks
Steps to use this GUI.
1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored)
2. First we need to teach Character to computer. For this type the Character in the textbox space provided and press "TEACH".
3. You can save all the taught data.
4. For retrival, click start.
Note: Paint Brush software of microsoft opens for entering the image. So, we need to save the image after editing.
For best results teach each Character not less than ten times.
Platform: |
Size: 174080 |
Author:ruan |
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Description: MATLAB 神经网络用于英文字母图像和数字的识别源程序-MATLAB neural network for images and the number of letters of the alphabet to identify the source Platform: |
Size: 227328 |
Author:吕文华 |
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Search - neural character