Abstract
Back-to-front, show-through, or bleeding are the names given to the overlapping interference whenever a document is written (or printed) on both sides of a translucent paper. Such interference makes more difficult, if not impossible, document transcription and binarization. This paper presents a new technique to filter out such interference in color documents, enhancing their readability.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Abramson, N.: Information Theory and Coding. McGraw-Hill Book Co., New York (1963)
Castro, P., Pinto, J.R.C.: Methods for Written Ancient Music Restoration. In: Kamel, M.S., Campilho, A. (eds.) ICIAR 2007. LNCS, vol. 4633, pp. 1194–1205. Springer, Heidelberg (2007)
FUNDAJ, http://www.fundaj.gov.br
Kasturi, R., O´Gorman, L., Govindaraju, V.: Document image analysis: A primer. Sadhana (27), 3–22 (2002)
Lins, R.D., et al.: An Environment for Processing Images of Historical Documents. In: Microprocessing & Microprogramming, pp. 111–121. North-Holland, Amsterdam (1993)
Nishida, H., Suzuki, T.: A Multiscale Approach to Restoring Scanned Color Document Images with Show-Through Effects. In: Proceedings of ICDAR 2003, pp. 584–588 (2003)
Sauvola, J., Pietikainen, M.: Adaptive document image binarization. Pattern Recognition 33(2), 225–236 (2000)
Sharma, G.: Show-through cancellation in scans of duplex printed documents. IEEE Trans. Image Processing 10(5), 736–754 (2001)
da Silva, J.M.M., Lins, R.D., Martins, F.M.J., Wachenchauzer, R.: A New and Efficient Algorithm to Binarize Document Images Removing Back-to-Front Interference. Journal of Universal Computer Science 14, 299–313 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Silva, J.M., Lins, R.D., Silva, G.P.e. (2009). Enhancing the Quality of Color Documents with Back-to-Front Interference. 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_86
Download citation
DOI: https://doi.org/10.1007/978-3-642-02611-9_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02610-2
Online ISBN: 978-3-642-02611-9
eBook Packages: Computer ScienceComputer Science (R0)