Version 1
: Received: 16 March 2023 / Approved: 17 March 2023 / Online: 17 March 2023 (13:25:06 CET)
How to cite:
shafi, S.; Atif, A.; Shafi, H. Automated Document Orientation Correction Using Skew and Inversion Rectification With Hough Line Transformation and Machine Learning. Preprints2023, 2023030326. https://doi.org/10.20944/preprints202303.0326.v1.
shafi, S.; Atif, A.; Shafi, H. Automated Document Orientation Correction Using Skew and Inversion Rectification With Hough Line Transformation and Machine Learning. Preprints 2023, 2023030326. https://doi.org/10.20944/preprints202303.0326.v1.
Cite as:
shafi, S.; Atif, A.; Shafi, H. Automated Document Orientation Correction Using Skew and Inversion Rectification With Hough Line Transformation and Machine Learning. Preprints2023, 2023030326. https://doi.org/10.20944/preprints202303.0326.v1.
shafi, S.; Atif, A.; Shafi, H. Automated Document Orientation Correction Using Skew and Inversion Rectification With Hough Line Transformation and Machine Learning. Preprints 2023, 2023030326. https://doi.org/10.20944/preprints202303.0326.v1.
Abstract
Document deskewing is a fundamental problem in document image processing. While existing methods have limitations, such as Hough Line Transformation that can deskew images upside down, and Deep Learning models that require huge amounts of human labour and computational resources and still fail to deskew while taking care of orientation, OCR-based methods also struggle to read text when it is tilted. In this paper, we propose a novel, simple, cost-effective deep learning method for fixing the skew and orientation of documents. Our approach reduces the search space for the machine learning model to predict whether an image is upside down or not, avoiding the huge search space of predicting an angle between 0 and 360. We finetuned a MobileNetV2 model, which was pre-trained on imagenet, using only 200 images and achieve good results. This method is useful for automation-based tasks, such as data extraction using OCR technology, and can greatly reduce manual labour.
Keywords
document image processing; deskew; Hough Line Transform; image rectification; machine learning; OCR; document orientation; image preprocessing; computer vision; AI
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
