Open AccessDeep Learning Based Indian Currency Detection for Visually Challenged using VGG16
Author(s) -
Nijil Raj N,
Anant Ram,
Annie Joseph,
S Shabna
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3955.079220
Subject(s) - banknote , deep learning , visually impaired , artificial intelligence , computer science , convolutional neural network , currency , convolution (computer science) , artificial neural network , computer vision , human–computer interaction , economics , monetary economics
Banknote recognition is a major problem faced by visually Challenged people. So we propose a system to help the visually Challenged people to identify the different types of Indian currencies through deep learning technique. In our proposed project, bank notes with different positions are directly fed into VGG 16, a pretrained model of convolution neural network which extracts deep features. From our work the visually impaired people will be able to recognize different types if Indian Currencies.