• Shweta Yadav
• Zulfikar Ali Ansari
• Kaushiki Gautam Singh

Despite the quick expanding utilization of Master cards and other electronic types of payment, money is still broadly utilized for ordinary exchanges because of its convenience. However, visually impaired people may suffer from knowing each currency paper apart. Currency Recognition Systems (CRS) can be used to help blind and visually impaired people who suffer from monetary transactions. In this paper, a Currency Recognition System based on Oriented FAST and rotatedYoloV3 algorithm is proposed. The proposed system is applied toIndianpaper currencies including six kinds of currency papers. In the proposed work, we will develop a system to detect currency for Indian Notes. First, take the input of the given image and pre-processed the given image and convert the RGB image into the grayscale image. After pre-processing, apply a Sobel algorithm for the extraction of the inner as well as the outer edges of the image. Clustering will be done using the YOLO V3 algorithm. In which it forms the clustering of feature one by one. After that recognized the input image as a 200, 500, or 2000 and compare the features of the image and classified it as 200, 500, 2000, or not with the help of the YOLO V3 algorithm.

"CURRENCY DETECTION FOR VISUALLY IMPAIRED", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.999-1002, May-2020, Available :http://www.jetir.org/papers/JETIR2005143.pdf

"CURRENCY DETECTION FOR VISUALLY IMPAIRED", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp999-1002, May-2020, Available at : http://www.jetir.org/papers/JETIR2005143.pdf