Abstract
Very often the digitalization process using automatically fed production line scanners yields monochromatic images framed by a noisy border. This paper presents a pre-processing scheme based on sub sampling which speeds up the border removal process. The technique introduced was tested on over 20,000 images and provided same quality images than the best algorithm in the literature and amongst commercial tools with an average speed-up around 50%.
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de Araújo Formiga, A., Lins, R.D. (2009). Efficient Removal of Noisy Borders of Monochromatic Documents. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2009. Lecture Notes in Computer Science, vol 5627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02611-9_16
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DOI: https://doi.org/10.1007/978-3-642-02611-9_16
Publisher Name: Springer, Berlin, Heidelberg
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