Efficient removal of noisy borders from monochromatic documents

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Abstract

This paper presents an algorithm based on Flood Fill, Component Labelling, and Region Adjacency Graphs for removing noisy borders in monochromatic images of documents introduced by the digitalization process using automatically fed scanners. The new algorithm was tested on 20,000 images and provided better quality images and time-space performance than its predecessors including the widespread used commercial tools. © Springer-Verlag 2004.

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Ávila, B. T., & Lins, R. D. (2004). Efficient removal of noisy borders from monochromatic documents. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3212, 249–256. https://doi.org/10.1007/978-3-540-30126-4_31

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