Image segmentation is an important stage for object recognition. Many methods have been
proposed in the last few years for grayscale and color images. In this paper, we present a …

Despite a decrease in the use of currency due to the recent growth in the use of electronic
financial transactions, real money transactions remain very important in the global market …

The movement of cash flow transactions by either electronic channels or physically created
openings for the influx of counterfeit banknotes in financial markets. Aided by global …

In India, nearly 12 million visually impaired people had difficulty in identifying the currency
notes. There is a need to develop an application that can recognize the currency note and …

This paper presents the development of a portable system with the aim of allowing blind
people to detect and recognize Euro banknotes. The developed device is based on a …

The research presented aims to develop a prototype of a real-time mobile application for
Thai banknote recognition to support visually impaired persons. The identification of each …

In order to improve the performance of the banknote classification, this paper presents a new
feature extraction method based on quaternion wavelet transform (QWT). The QWT yields …

Currency recognition is a technology used to identify currencies of various countries. The
use of automatic methods of currency recognition has been increasing due its importance in …

In this paper we consider the problem of colour-based sorting hardwood parquet slabs into
lots of similar visual appearance. As a basis for the development of an expert system to …

In this paper, we propose a fast and efficient algorithm to classify multi-national banknote
images using size information and multi-template correlation matching. Since different …