DocumentCode
2979592
Title
The new improvement of multi-threshold dynamic binarization for bill images
Author
Ma, Chi ; Bai, Qiuying ; Chen, Xuechang
Author_Institution
Sch. of Software Eng., Univ. of Sci. & Technol. Liaoning, Anshan, China
fYear
2012
fDate
22-24 June 2012
Firstpage
67
Lastpage
70
Abstract
In identification of bill images, binarization quality has direct influence on identification ratio. This paper introduces an improvement of multi-threshold dynamic binarization for bill images. The improvement scheme is based on the research of existing binarization algorithms and the motivation to solve the problem of noise jamming in bill images. An application of the improved binarization scheme was implemented. The result shows that the scheme is effective and has a well anti-noise ability.
Keywords
image denoising; image segmentation; invoicing; antinoise ability; bill image identification; binarization algorithms; binarization quality; identification ratio; multithreshold dynamic image binarization; noise jamming problem; Algorithm design and analysis; Equations; Histograms; Image segmentation; Licenses; Lighting; Mathematical model; bill images; binarization; dynamic; multi-threshold;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2007-8
Type
conf
DOI
10.1109/ICSESS.2012.6269407
Filename
6269407
Link To Document