Using neural networks for rotation invariant OCR

1. Are neural networks rotation invariant?
2. Are convolutional neural networks rotation invariant?
3. How do you prove rotation invariance?
4. What is rotation invariant in image processing?

Are neural networks rotation invariant?

Unless your training data includes digits that are rotated across the full 360-degree spectrum, your CNN is not truly rotation invariant.

Are convolutional neural networks rotation invariant?

Deep Convolutional Neural Networks (CNNs) are empirically known to be invariant to moderate translation but not to rotation in image classification.

How do you prove rotation invariance?

Application to quantum mechanics

Since the rotation does not depend explicitly on time, it commutes with the energy operator. Thus for rotational invariance we must have [R, H] = 0. in other words angular momentum is conserved.

What is rotation invariant in image processing?

In image processing, the invariant (I) is a property of the image (a function in this context) that will not change or just change a little if we transform (rotated, scaled, blurred, etc) the image.