The New Improvement of Multi-threshold Dynamic Binarization for Bill Images
In identification of bill images, binarization quality has direct influence on identification ratio. This paper introduces an improvement of multithreshold 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.
bill images multi-threshold binarization dynamic
Chi Ma Qiuying Bai Xuechang Chen
School of Software Engineering University of Science and Technology Liaoning Anshan, 114051, PR CHIN School of Software Engineering University of Science and Technology Liaoning Anshan, 114051,PR CHINA School of Economics and Management, University of Science and Technology Beijing, Beijing 10083, Chi
国际会议
北京
英文
67-70
2012-06-22(万方平台首次上网日期,不代表论文的发表时间)