Abstract
Visually impaired people often have to face difficulty when they try to identify denominations of bank notes. Currently in Bangladesh, there is no system that can easily detect the monetary value of the note. Pattern recognition systems developed over the years are now fast enough to do image matching in real time. This enables us to develop a system able to analyze an input frame and generate the value of the paper-based currency in order to aid the visually impaired in their day-to-day life. The proposed system can recognize Bangladeshi paper currency notes with 89.4% accuracy on white paper background and with 78.4% accuracy tested on a complex background.
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Rahman, M.M., Poon, B., Amin, M.A., Yan, H. (2014). Recognizing Bangladeshi Currency for Visually Impaired. In: Wang, X., Pedrycz, W., Chan, P., He, Q. (eds) Machine Learning and Cybernetics. ICMLC 2014. Communications in Computer and Information Science, vol 481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45652-1_14
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DOI: https://doi.org/10.1007/978-3-662-45652-1_14
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