Scanned or photographed? automatically deciding how a document was digitized

Proceedings of the 3rd International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2009

Volumn , Issue , 2009, Pages 100-105

  Silva, Gabriel Pereirae ^a   Lins, Rafael Dueire ^a   Miro, Brenno ^a   J simske, Steven ^b   Thielo, Marcelo ^b  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

^b HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC PROCESSING; BINARIZE; CLASSIFICATION RATES; HUMAN EYE; PERSPECTIVE CORRECTIONS; TRUE COLORS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 84885209852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. L. Breiman, "Random Forests", Machine Learning, 45(1), pp. 5-32, 2001.
2. D. Doermann, J. Liang, H. Li, "Progress in Camera-Based Document Image Analysis, " ICDAR'03, Volume (1): 606, 2003.
3. G. Pereira e Silva and R.D. Lins. PhotoDoc: A Toolbox for Processing Document Images Acquired Using Portable Digital Cameras. CBDAR 2007, pp.107-114, 2007.
4. J. Liang, D. Doermann and H. Li. Camera-Based Analysis of Text and Documents: A Survey. International Journal on Document Analysis and Recognition, 2005.
5. R.D. Lins and D.S.A. Machado, A Comparative Study of File Formats for Image Storage and Transmission, vol. 13(1):175-183, Journal of Electronic Imaging, 2004.
6. R.D. Lins, A.R. Gomes e Silva and G. Pereira e Silva, Enhancing Document Images Acquired Using Portable Digital Cameras, ICIAŔ07, LNCS, Springer-Verlag, 2007.
7. R.D. Lins, G.F. Pereira e Silva, S.J. Simske, J. Fan, M.S. Shaw, P. Sá, M.R. Thiello, Image Classification to Improve Printing Quality of Mixed-Type Documents. ICDAR 2009, IAPR Press, Barcelona, 2009.
8. N. Otsu. "A threshold selection method from gray level histograms". IEEETrans.Syst.Man Cybern. Vol. (9):62-66, 1979.
9. S.J. Simske, "Low-resolution photo/drawing classification: Metrics, method and archiving optimization, " Proceedings IEEE ICIP, IEEE, Genoa, Italy, pp. 534-537, 2005.
10. I.H. Witten, E. Frank. Data Mining: Practical Machine Learning Tools and Techniques (2nd Edition) - Morgan Kaufmann, June 2005. ISBN 0-12-088407-0.
11. ImageJ http://rsb.info.nih.gov/ij/.
12. Weka 3: Data Mining Software in Java, website http://www.cs.waikato.ac. nz/ml/weka/.