Currency Recognition System For Visually Impaired
Vrushali Sindhikar, Snehal Saraf, Ankita Sonawane, Shamali Thakare · International journal of advance research and innovative ideas in education · 2017
In this paper we introduced a mobile system for currency recognition that recognizes Indian currency in different view and scale. In this paper, we developed a dataset for Indian currency on an Android Platform. After that we applied automatic mobile recognition system using a smart phone on the dataset using scale-invariant feature transform (SIFT) algorithm. SIFT has been developed to be the most robust and efficient local invariant feature descriptor. Color provides significant information and important values in the object description process and matching tasks. Many objects cannot be classified correctly without their color features. One of the most important problems come up against visual impaired people is currency identification especially for currency note. In this system we introduce a simple currency recognition system applied on Indian banknote.