手写数字识别 [英] handwritten digit recognition
问题描述
我想实现一个用于识别手写数字(波斯数字)的应用程序,并且我想知道哪种神经网络更适合实现它.我在获取输入时没有任何问题,并且我实现了该部分,并制作了8 * 8网格,该网格能够识别写入的正方形和完全空白的正方形!
我已经阅读了几篇有关该主题的文章,其中大多数都将反向传播和MLP用于他们的网络.由于我没有足够的时间来从事这个项目,我几乎为选择最佳而感到困惑! />
如果有人帮助我并给我一些建议,我将不胜感激!
最好的问候
I want to implement an application for recognizing handwritten digits(persian digits),and I want to know that which type of neural network is more suitable for implementation of it.I don''t have any problem in getting inputs,and I implemented that part and made 8*8 grid that is able to recognize which square is written and which square is completely empty!
I have already read several articles about this subject and most of them have used backpropagation and MLP for their network.I''ve got almost confused for choosing the best because I don''t have enough time for this project!!!
I would appreciate if someone help me on it and give me some advice!
best regards
推荐答案
我在CP中发现了很多这样的东西.
使用内核判别分析的笔迹识别 [再谈手写识别:内核支持向量机 [用于识别C#中手写数字的神经网络 [用于识别手写数字的神经网络 [ GPU上的神经网络 [使用链码的光学字符识别(OCR)中的AC#项目 [ ^ ]
卷积神经网络MNIST工作台 [ Unicode光学字符识别 [
I have found this nice bunch in CP.
Handwriting Recognition using Kernel Discriminant Analysis[^]
Handwriting Recognition Revisited: Kernel Support Vector Machines[^]
Neural Network for Recognition of Handwritten Digits in C#[^]
Neural Network for Recognition of Handwritten Digits[^]
A Neural Network on GPU[^]
A C# Project in Optical Character Recognition (OCR) Using Chain Code[^]
Convolutional Neural Network MNIST Workbench[^]
Unicode Optical Character Recognition[^]
BTW Thanks for your question....
此 [ ^ ]可能会有所帮助.
This[^] might help.
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