A Rehman, T Saba - Applied Artificial Intelligence, 2011 - Taylor & Francis
Document skew estimation and correction is a regular issue in scanned document images. It is an active research area in the domain of document analysis and recognition. Literature is …
Camera-captured, warped document images usually contain curled text-lines because of distortions caused by camera perspective view and page curl. Warped document images …
In this paper, we have proposed a technique based on Horizontal Projection Profile (HPP) and Entropy for skew detection and correction for the printed Meitei/Meetei script document …
Image analysis is an interesting research area with a large variety of challenging applications. Researchers have worked from decades on this topic, as witnessed by the …
The world is growing with the new technologies for machine learning. Day by day there are incredible developments in the area of pattern recognition for the applications such as …
Performance of an optical character recognition engine may be affected if the images are skewed and distorted due to perspective projection. In this paper, a computationally efficient …
This article presents somewhat detail discussions on document image skew detection methods available in the existing literature. We first categorise the document images into …
K Rachchh, ES Gopi - Proceedings of the 2nd International Conference on …, 2018 - Springer
Optical mark recognition (OMR) is a prevalent data gathering technique which is widely used in educational institutes for examinations consisting of multiple-choice questions …
Skew estimation of scanned document is important for document analysis and recognition. Owing to the complexity inherent in the document, some methods only process the …