학술논문
Currency Detector for Visually Impaired using Machine Learning
Document Type
Conference
Author
Source
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) System, Computation, Automation and Networking (ICSCAN), 2021 International Conference on. :1-5 Jul, 2021
Subject
Language
Abstract
Apart from the immediate use of Master cards and any form of electronic payment methods, money has been widely used for general exchange due to its usefulness. However, visually impaired people can suffer to know each currency paper separately. This research project aims to develop a mobile app. based on the Convolutional Neural Network using pre-trained representations to permit visually impaired people to see Indian banknotes in real-time situations. The elementary methods used in our planned system include pre-image classification, segmentation, histogram equalization, region of interest (ROI), and finally template matching using MobileNetV1-224 and TensorFlow.