Abstract:
This report presents a Bangladeshi Banknote detection system using a Deep Convolutional
Neural Network. This project is usually designed for people who do not recognize or cannot
see the Bangladeshi banknotes. Visually impaired humans face trouble in figuring out and
spotting the unique types of banknotes due to a few reasons. Many projects like this have
been followed before this project was completed. Some of the works of others are also
mentioned in this paper. The detection system is also capable of identifying the Bangladeshi
Banknotes that are rumpled, decrepit, or may be worn. The detection system consists of image
preprocessing, image evaluation, and image recognition. In this project, 3000 images have
been used. There are 50 taka, 100 taka, 200 taka, 500 taka, 1000 taka. This project has been
completed using CNN, Vgg16, Transfer learning, and transfer learning-based improved CNN
model. We get Better accuracy from improve CNN. We get medium accuracy form Deep
CNN and we get low accuracy from VGG16 and transfer learning.
