Document image analysis with OCRopus

INMIC 2009 - 2009 IEEE 13th International Multitopic Conference

Volumn , Issue , 2009, Pages

  Shafait, Faisal ^a  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DOCUMENT ANALYSIS SYSTEM; DOCUMENT IMAGE ANALYSIS; ELECTRONIC REPRESENTATIONS; OPEN SOURCES; PAPER DOCUMENTS; PLUGGABLE ARCHITECTURE;

DIGITAL IMAGE STORAGE; OPTICAL CHARACTER RECOGNITION;

IMAGE ANALYSIS;

EID: 77950444507     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INMIC.2009.5383078     Document Type: Conference Paper

References (26)

1. A. Holmes. Publishing trends and practices in the scientific community. Canadian Journal of Communication, 29:359-368, 2004.
2. http://finereader.abbyy.com/.
3. http://www.nuance.com/imaging/products/omnipage.asp.
4. http://jocr.sourceforge.net/.
5. http://freshmeat.net/projects/claraocr/.
6. http://www.gnu.org/software/ocrad/.
7. R. Smith. An overview of the Tesseract OCR engine. In Proc. 9th Int. Conf. on Document Analysis and Recognition, pages 629-633, Curitiba, Brazil, Sep. 2007.
8. http://code.google.com/p/tesseract-ocr/.
9. S. V. Rice, F. R. Jenkins, and T. A. Nartker. The fourth annual test of OCR accuracy. Technical report, Information Science Research Institute, University of Nevada, Las Vegas, 1995.
10. http://www.cuneiform.ru/eng/.
11. http://en.openocr.org/.
12. T. M. Breuel. The OCRopus open source OCR system. In Proc. SPIE Document Recognition and Retrieval XV, pages 0F1-0F15, San Jose, CA, USA, Jan. 2008.
13. http://code.google.com/p/ocropus/.
14. http://code.google.com/p/iulib/.
15. F. Shafait, D. Keysers, and T. M. Breuel. Pixel-accurate representation and evaluation of page segmentation in document images. In 18th Int. Conf. on Pattern Recognition, pages 872-875, Hong Kong, China, Aug. 2006.
16. T. M. Breuel. The hOCR microformat for OCR workflow and results. In Proc. Int. Conf. on Document Analysis and Recognition, pages 1063-1067, Curitiba, Brazil, Sep. 2007.
17. M. Sezgin and B. Sankur. Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging, 13(1):146-165, 2004.
18. N. Otsu. A threshold selection method from gray-level histograms. IEEE Trans. Systems, Man, and Cybernetics, 9(1):62-66, 1979.
19. F. Shafait, J. van Beusekom, D. Keysers, and T. M. Breuel. Document cleanup using page frame detection. Int. Jour. on Document Analysis and Recognition, 11(2):81-96, 2008.
20. D. S. Bloomberg, G. E. Kopec, and L. Dasari. Measuring document image skew and orientation. In Proc. SPIE Document Recognition II, pages 302-316, San Jose, CA, USA, Feb. 1995.
21. Y. Wang, I. Phillips, and R. Haralick. Document zone content classification and its performance evaluation. Pattern Recognition, 39(1):57-73, 2006.
22. D. Keysers, F. Shafait, and T. M. Breuel. Document image zone classification - a simple high-performance approach. In 2nd Int. Conf. on Computer Vision Theory and Applications, pages 44-51, Barcelona, Spain, Mar. 2007.
23. T. M. Breuel. Two geometric algorithms for layout analysis. In Proc. Document Analysis Systems, volume 2423 of Lecture Notes in Computer Science, pages 188-199, Princeton, NY, USA, Aug. 2002.
24. F. Shafait, D. Keysers, and T. M. Breuel. Performance evaluation and benchmarking of six page segmentation algorithms. IEEE Trans. on Pattern Analysis and Machine Intelligence, 30(6):941-954, 2008.
25. J. Sauvola and M. Pietikainen. Adaptive document image binarization. Pattern Recognition, 33(2):225-236, 2000.
26. F. Shafait, D. Keysers, and T.M. Breuel. Efficient implementation of local adaptive thresholding techniques using integral images. Proc, of SPIE Electronic Imaging: Document Recognition and Retrieval, 6815:81510-81510, 2008.