Banknote recognition means classifying the currency (coin and paper) to the correct class. In
this paper, we developed a dataset for Jordanian currency. After that we applied automatic …

In this quickly developing world, automatic currency identification and recognition are crucial
tasks. Several financial institutions, such as banks and hardware-based devices such as …

Abstract Machine vision inspection systems are often used for part classification applications
to confirm that correct parts are available in manufacturing or assembly operations. Support …

The currency has a great meaning in everyday life. Thus currency recognition has gained a
great interest for many researchers. The researchers have suggested diverse approaches to …

Over the years data clustering algorithms have been used for image segmentation. Due to
the presence of uncertainty in real life datasets, several uncertainty based data clustering …

This paper examines the application of a deep learning approach to automatic coin
recognition, via a mobile device and client-server architecture. We show that a convolutional …

Vending machine that dispense items like as snacks, coffee, beverages, lottery ticket,
consumer products automatically when a customer insert a coin or token are increasing …

We present a new recognition framework for ancient coins struck from the same die. It is
called Low-complexity Arrays of Patch Signatures. To overcome the problem of illumination …

Currency has great importance in day to day life and may be because the currency
recognition is a great area of interest for researchers. Different methods have been …

The reliable classification of coin sets from different countries and counterfeit coins is an
essential means of securing cash circulation. Especially bimetallic coins, such as 2-Euro …