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Deep Image Orientation Angle Detection
Published 21 Jun 2020 in cs.CV, cs.LG, and eess.IV | (2007.06709v1)
Abstract: Estimating and rectifying the orientation angle of any image is a pretty challenging task. Initial work used the hand engineering features for this purpose, where after the invention of deep learning using convolution-based neural network showed significant improvement in this problem. However, this paper shows that the combination of CNN and a custom loss function specially designed for angles lead to a state-of-the-art results. This includes the estimation of the orientation angle of any image or document at any degree (0 to 360 degree),
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