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- W2895040666 abstract "The detection and extraction of writing grid lines (WGL) in document images is an important task for a wide variety of systems. It is a pre-processing operation that tries to clean up the document image to make the recognition process easier. A lot of work has been proposed for staff line extraction in the context of Optical Music Recognition. Two competitions have been recently proposed in the 2011 and the 2013 ICDAR/GREC conferences. The method proposed in this paper aims to remove WGL without degrading the content. The whole method is based on the estimation of line_space (inter) and line_height and the use of run-length segments to locate WGL points. These points are then grouped together to form larger lines. Missing points are estimated by using a linear model and the context of other adjacent lines. We show that our method does not rely on the writing nature: printed or handwritten nor the language: musical symbols, Latin or Arabic writings. The results obtained are close to the state-of-the-art on not deformed documents. Furthermore, our method performs better than the ones that we have tested (at our disposal) on our image grid datasets." @default.
- W2895040666 created "2018-10-12" @default.
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- W2895040666 date "2018-03-01" @default.
- W2895040666 modified "2023-09-23" @default.
- W2895040666 title "Generic method for grid line detection and removal in scanned documents" @default.
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- W2895040666 doi "https://doi.org/10.1109/asar.2018.8480217" @default.
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