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The new improvement of multi-threshold dynamic binarization for bill images

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3 Author(s)
Chi Ma ; School of Software Engineering, University of Science and Technology Liaoning, Anshan, 114051, CHINA ; Qiuying Bai ; Xuechang Chen

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.

Published in:

2012 IEEE International Conference on Computer Science and Automation Engineering

Date of Conference:

22-24 June 2012