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
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;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2007-8
DOI :
10.1109/ICSESS.2012.6269407
