Abstract
Text highlighting is often used to emphasize parts of a document for some reason. As highlighting is a personal choice of the reader, it can be seen as physically “damaging” the original document. A recent paper shows how to remove felt-pen highlighting in monochromatic documents with a white paper background. This paper generalizes that result to filter out highlighting in monochromatic documents with non-white background due to paper natural aging.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Barboza, R.S., Lins, R.D., Mattos, V.S.: Removing Highlighting in Paper Documents. In: VII IEEE International Telecommunications Symposium, ITS 2010, Manaus-AM, Brazil (September 2010)
Lins, R.D.: A Taxonomy for Noise in Images of Paper Documents - The Physical Noises. In: Kamel, M., Campilho, A. (eds.) ICIAR 2009. LNCS, vol. 5627, pp. 844–854. Springer, Heidelberg (2009)
Nagarajan, R., et al.: Automated Method for Extracting Highlighted Regions in Scanned Source. U.S. Patent 2007/0253620 (November 1, 2007); Lins, R.D., Ávila, B.T., de Araújo Formiga, A.: BigBatch – An Environment for Processing Monochromatic Documents. In: Campilho, A., Kamel, M.S. (eds.) ICIAR 2006. LNCS, vol. 4142, pp. 886–896. Springer, Heidelberg (2006)
Nagarajan, R.: Automated Method and System for Retrieving Documents Based on Highlighted Text from a Scanned Source. U.S. Patent 2007/0253643, No. 1 (2007)
Barboza, R.S., Lins, R.D., Pereira, R.D.V.M.S.: Using Readers’ Highlighting on Monochromatic Documents for Automatic Text Transcription and Summarization. In: Eleventh International Conference on Document Analysis and Recognition (ICDAR 2011), Beijing, China. IEEE Press (September 2011)
Stetson, P.F., Sommer, F.G., Macovski, A.: Lesion contrast enhancement in medical ultrasound imaging. IEEE Trans. Medical Imaging 16(4), 416–425 (1997)
Starck, J., Murtagh, F., Candès, E.J., Donoho, D.L.: Gray and color image contrast enhancement by the curvelet transform. Presented at IEEE Transactions on Image Processing, 706–717 (2003)
Chen, D., Ramli, R.: Contrast Enhancement Using Recursive Mean-Separate Histogram Equalization for Scalable Brightness Preservation. Computer Journal of IEEE Transactions Consumer Electronics 49(4), 1301–1309 (2003)
Schmid, C., et al.: Ink Compositions for use in highlighter markers and associated methods. U.S. Patent 2005/0093949 (May 5, 2005)
Baclawski, K.: Introduction to probability with R. Ed. Taylor & Francys Group, USA (2008)
Lins, R.D., de França Silva, G., de Araújo Formiga, A.: HistDoc v. 2.0 - Enhancing a Platform to Process Historical Documents. In: International Workshop on Historical Document Imaging and Processing, HIP 2011, Pequim, pp. 230–239. ACM Press, New York (2011)
ImageJ, http://rsb.info.nih.gov/ij/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
da Silva Barboza, R., Lins, R.D., de A. Barros, D., da F. de Lira, E. (2013). Statistically Analyzing RGB Histograms to Remove Highlighting in Aged Paper Monochromatic Documents. In: Kwon, YB., Ogier, JM. (eds) Graphics Recognition. New Trends and Challenges. GREC 2011. Lecture Notes in Computer Science, vol 7423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36824-0_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-36824-0_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36823-3
Online ISBN: 978-3-642-36824-0
eBook Packages: Computer ScienceComputer Science (R0)