DocumentCode :
2550155
Title :
A binarization method for scanned documents based on hidden Markov model
Author :
Huang, Songtao ; Sid-Ahmed, M.A. ; Ahmadi, Majid ; El-Feghi, Idris
Author_Institution :
Electr. & Comput. Eng., Windsor Univ., Ont.
fYear :
2006
fDate :
21-24 May 2006
Abstract :
The binarization stage is a very critical in document analysis since the quality of a binarized image determines the performance of the entire process. However due to many uncertain factors such as complex signal-dependent noise and variable background intensity, which is caused by non-uniform illumination, shadow, smear, smudge or low contrast, an effective binarization algorithm that will work on a broad set of composite documents has yet to be developed. Here we propose a new algorithm which implements hidden Markov model in the binarization stage. The simulation results prove that this method is efficient in extracting information from various noisy backgrounds
Keywords :
document image processing; hidden Markov models; information analysis; binarization algorithm; binarized image; composite documents; document analysis; hidden Markov model; information extraction; scanned documents; Background noise; Cause effect analysis; Hidden Markov models; Image analysis; Lighting; Performance analysis; Pixel; Signal analysis; Speech analysis; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
Type :
conf
DOI :
10.1109/ISCAS.2006.1693582
Filename :
1693582
Link To Document :
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