Abstract
Inspite of availability of various payment apps, currency notes are playing a prominent role as primary mode of exchange for many day to day transactions. For a person with good vision denomination identification is a straight forward task, whereas visually impaired it becomes a challenge. Each currency note is embossed with unique symbols, identification becomes much tougher to them to differentiate between currency notes. This paper mainly focuses on extracting distinctive features from an Indian Currency note using Oriented FAST and Rotated BRIEF (ORB) algorithm. This system also recognizes currency notes with different orientations. Apart from identifying currency denominations, it also calculates total amount available at hand. As now-a-days smart phone is carried by everyone, therefore a mobile application is developed for currency detection to aid visually impaired, which provides detected currency notes information through audio.
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Ramani, K., Suneetha, I., Pushpalatha, N., Reddy, K.B.N.K., Harish, P. (2023). A Mobile Application for Currency Denomination Identification for Visually Impaired. In: Hasteer, N., McLoone, S., Khari, M., Sharma, P. (eds) Decision Intelligence Solutions. InCITe 2023. Lecture Notes in Electrical Engineering, vol 1080. Springer, Singapore. https://doi.org/10.1007/978-981-99-5994-5_11
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DOI: https://doi.org/10.1007/978-981-99-5994-5_11
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