位图(签名)比较在c# [英] Bitmap (of a signature) comparison in c#

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本文介绍了位图(签名)比较在c#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

我们有一个有趣的项目,需要我们比较两个黑色和白色位图的两个签名,并说他们是否是相同的人签名。因为这只是两个加载的位图,而不是从平板电脑捕获的数据,这种方法将有点不同于正常的签名识别。

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.

我认为这将需要以下步骤

I am thinking it would require the following steps


  • 将位图剪裁为签名

  • 尝试执行某种旋转

  • 调整大小以使剪裁/旋转的位图相同

  • 分析内部的签名(也许分解成网格) li>
  • 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)

有没有人对这个项目有任何想法?如何最好地做旋转,比较等?看起来类似吗?

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: SOMs 有趣的照片(:D)以及如何比较图像相似性的示例。

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

有两种主要类型的神经网络 - 监督和非监督。 SOM是无监督的。根据您的情况,您可能需要查看受监管的神经网络< a> NNs是常见的,并且很大程度上很容易实现。

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.

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