DocumentCode
3279173
Title
Dynamic threshold algorithm for removal of Back-to-Front noises of visual document image
Author
Tian, Da-Zeng ; Wang, Chao ; Zhang, Zhi-ming
Author_Institution
Fac. of Phys. Sci. & Technol., Hebei Univ., Baoding, China
Volume
4
fYear
2011
fDate
10-13 July 2011
Firstpage
1752
Lastpage
1755
Abstract
As we all known, the Back-to-Front noises may affect the feature extraction and classification of text when using ORC to identify. In this paper, we take advantage of dynamic threshold method to process the vision document image of Back-to-Front noise with unimodal or bimodal histogram characteristic. Experimental results show that this algorithm has a better effective.
Keywords
document image processing; feature extraction; image classification; image denoising; image segmentation; optical character recognition; text analysis; ORC; back-to-front noise removal; bimodal histogram characteristic; dynamic threshold algorithm; feature extraction; optical character recognition; text classification; unimodal histogram characteristic; visual document image; Algorithm design and analysis; Entropy; Heuristic algorithms; Histograms; Interference; Noise; Visualization; Back-to-Front noises; Dynamic threshold; Visual document image;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location
Guilin
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6017030
Filename
6017030
Link To Document