在C#中的位图(签字)比较 [英] Bitmap (of a signature) comparison in c#

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本文介绍了在C#中的位图(签字)比较的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我们有一个好玩的项目需要我们来比较两个签名的黑色和白色两种位图,说他们是否是相同的人的签名。由于这是来自平板电脑的做法将是正常的签字认可有点不同抓获短短两年加载位图,而不是数据。

We have a for fun project which require us to compare two black and white bitmaps of two signature and say whether they are the same persons signature. As this is just two loaded bitmaps rather than data captured from a tablet the approach is going to be a little different to normal signature recognition.

我想它会要求以下步骤


  • 裁剪位图,只是签名

  • 尝试制定出某种轮换将它们对齐

  • 调整,使裁剪/旋转位图相同

  • (由分解成一个网格也许)分析签名里面

  • Crop the bitmaps to just the signature
  • Try to work out some kind of rotation to align them
  • Resize to make the cropped / rotated bitmaps the same
  • Analyse the signature inside (maybe by breaking down into a grid)

有没有人有这个项目有什么想法?如何做最好的旋转,比较等? ?见过类似的东西。

Does anyone have any thoughts on this project? How to best do the rotation, comparison etc? Seen anything similar?

推荐答案

您可能想看看:的的SOM 的有趣图片(:D),以及如何比较相似形象的例子。

You may want to look at:SOMs for interesting pics (:D) as well as an example of how to compare image similarities.

有神经网络的两种主要类型 - 监督和无人监督。高官会议是无人监督。根据你的情况,你可能想看一看监督神经网络神经网络是常见的,很简单,以实现对大部分。

There are two main types of Neural Networks - supervise and unsupervised. SOMs are unsupervised. Depending on your situation, you might want to take a look at supervised Neural Networks NNs are common, and quite straightforward to implement for the most part.

这篇关于在C#中的位图(签字)比较的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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