OCR voting methods for recognizing low contrast printed documents

Proceedings - Second International Conference on Document Image Analysis for Libraries, DIAL 2006

Volumn 2006, Issue , 2006, Pages 115-119

  Marosi, István ^a   Tóth, László ^a  

^a ScanSoft Recognita

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE SYSTEMS; IMAGE ANALYSIS; IMAGING SYSTEMS; INFORMATION RETRIEVAL;

ADAPTIVE THRESHOLDING; BACKGROUND NOISE; GREY IMAGE;

OPTICAL CHARACTER RECOGNITION;

EID: 33750937755     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DIAL.2006.28     Document Type: Conference Paper

References (5)

1. N. Otsu, "A Threshold Selection Method from Gray-Level Histogram," IEEE Trans. on Systems, Man, and Cybernetics, Vol. 9, No. 1, 1979, pp. 62-66
2. B. Sankur and M. Sezgin, "Survey Over Image Thresholding Techniques and Quantitative Performance Evaluation." Journal of Electronic Imaging, SPIE, Vol. 13, Issue 1, 2004, pp. 146-168
3. Y. Yang and H. Yan, "An Adaptive Logical Method for Binarisation of Degraded Document Images", Pattern Recognition, Pattern Recognition Society, Vol 33, issue 5, 2000, pp 787-807.
4. E. Kovács, I. Marosi, M. Benesóczky and J. Lánczky, "Lessons in Character Recognition", Document World, 1996. July/August, pp 30-34.
5. M. Breithaput, "Improving OCR and ICR Accuracy through Expert Voting", Technical report, Oce Document Technologies, 2001.