Job Description:

Now that we understand the basics of OMR, let’s build a computer vision system using

Python and OpenCV that can read and grade bubble sheet tests. In our project , we

combine 3 techniques:

Building document scanner

Sorting the outlines

Perspective transform to get top-down view

Python to Store the correct answer keys in a dict .

Used Canny edge detection for detecting the edges in the document and

Gaussian blur for reducing high frequency noise

OpenCV has the way to get the top-down view of the image.

Used that methodology to get the top-down view.

Used Otsu’s thresholding method for thresholding.

Determined the bubbles using the aspect ratio of approx one (1) for it’s bounding rect-


Used bitwise operations and masking to find the filled in bubble using the amount of

shaded pixels in the bubble.

Навыки: Python, OpenCV

О клиенте:
( 0 отзыв(-а, -ов) ) Greater Noida, India

ID проекта: #35283714

4 фрилансеров(-а) готовы выполнить эту работу в среднем за ₹3325


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