使用反向传播神经网络帮助构建OCR [英] Help to build an OCR using back propagation neural networks

问题描述

您好，我需要使用反向传播神经网络来构建OCR.我需要一些想法.

我的任务是加载一些可以训练我的神经网络的.png图像，然后再与其他图像一起读取字符.

到目前为止，我可以使用位图功能加载图像并将其转换为1和0.现在我陷入了困境，我应该如何使用二进制字符串，以便可以将它们用作我的神经网络的输入

请给我一些提示.感谢

Hello, I need to built an OCR using back propagation neural networks. What I need are some ideas.

my task is to load a number of .png images that I can train my neural network with, and then with other images I can be able to read the character.

Up till now I am able to load an image and convert it to 1''s and 0''s using the bitmap function. Now I am stuck I how should use the binary string so that I can use them as inputs to my Neural Network

Please give me some hints. Thanks

推荐答案

阅读以下文章:
神经网络OCR [ Unicode光学字符识别 [

Read the following articles :
Neural Network OCR[^]

Unicode Optical Character Recognition[^]

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