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16th International Conference on Pattern Recognition (ICPR'02) - Volume 3
Normalization of Contrast in Document Images Using Generalized Fuzzy Operator with Least Square Method
Quebec City, QC, Canada
August 11-August 15
ISBN: 0-7695-1695-X
ASCII Text
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C. C. Leung, P. C. K. Kwok, F. H. Y. Chan, W. K. Tsui, "Normalization of Contrast in Document Images Using Generalized Fuzzy Operator with Least Square Method," Pattern Recognition, International Conference on, vol. 3, pp. 30115, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1047808,
author = {C. C. Leung and P. C. K. Kwok and F. H. Y. Chan and W. K. Tsui},
title = {Normalization of Contrast in Document Images Using Generalized Fuzzy Operator with Least Square Method},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2002},
issn = {1051-4651},
pages = {30115},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1047808},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Normalization of Contrast in Document Images Using Generalized Fuzzy Operator with Least Square Method
SN - 1051-4651
SP
EP
A1 - C. C. Leung,
A1 - P. C. K. Kwok,
A1 - F. H. Y. Chan,
A1 - W. K. Tsui,
PY - 2002
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
C. C. Leung, University of Hong Kong
P. C. K. Kwok, The Open University of Hong Kong
F. H. Y. Chan, University of Hong Kong
W. K. Tsui, University of Hong Kong
The visual effect of non-uniform contrast and brightness surrounds in the image is a very common problem in the applications of photocopying, IC manufacture and medicine. In using the digital/CCD camera to capture documents and photos based on non-uniform illumination condition, the poor image will be seen. The poor image can result in achieving the inaccurate reading from the optical character recognition (OCR) system. This paper present a new approach to normalize the local contrast in documentation based on the least square method and also enhance the object of interest using generalized fuzzy operator (GFO). Two typical examples are used for evaluating the method.
Citation:
C. C. Leung, P. C. K. Kwok, F. H. Y. Chan, W. K. Tsui, "Normalization of Contrast in Document Images Using Generalized Fuzzy Operator with Least Square Method," icpr, vol. 3, pp.30115, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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