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What do you recommend for recognizing squares in an image?

The data needed to know is:

  • Identify concrete squares.

  • Identify the pixel coordinates of (the edges of) the squares in the image.

A couple of examples:

  • 20 squares identified.
  • For each square identify its pixel coordinates.

enter image description here

  • 2 squares identified.
  • First square coordinates: (38, 124, 86, 187).
  • Second square coordinates: (88, 124, 136, 187).

enter image description here

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  • $\begingroup$ A literature search for “car plate recognition” brings some papers to daylight in which neural networks were utilized for a similar task. $\endgroup$ – Manuel Rodriguez Jun 18 at 20:45
  • $\begingroup$ Hi @Lesair Valmont, is the square always white and have the same ratio (width : length)? $\endgroup$ – malioboro Jun 18 at 22:28
  • $\begingroup$ Squares' fill color is always white. Squares' ratio may vary. $\endgroup$ – Lesair Valmont Jun 19 at 17:22
  • $\begingroup$ Do you have any constraint on detection time? How much data do you have? $\endgroup$ – firion Jun 21 at 14:58
  • $\begingroup$ No time constraints. About 1,000 images. $\endgroup$ – Lesair Valmont Jun 29 at 11:58
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You might want to look into building convolutional neural network (CNN) for object detection using Keras. With plain white squares, it should work pretty good.

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  • $\begingroup$ Can you elaborate a little more about Keras with Azure? $\endgroup$ – Lesair Valmont Jun 24 at 16:36
  • $\begingroup$ I have very little experience with Azure. But if you are not familiar with CNNs in general, check the following coursera course coursera.org/learn/convolutional-neural-networks? $\endgroup$ – serali Jun 24 at 17:26

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