BACKGROUND Transmission of human pathogens can be occurred via inert objects. Paper currency is a further common contact surface whereby pathogens can be transferred within a population although the significance remains unknown. Hence, the aim of the present study was to investigate microbial populations associated with Iranian paper currency. METHODS This study was carried out by getting 108...

In this paper, an algorithm based on the frequency domain feature extraction method is discussed for the detection of currency. This method efficiently utilizes the local spatial features in a currency image to recognize it. The entire system is pre-processed for the optimal and efficient implementation of two dimensional discrete wavelet transform (2D DWT) which is used to develop a currency r...

This paperproposes a new intelligent system for paper currency recognition. Pakistani paper currency has been considered, as a case study, for intelligent recognition. This paper identifies, introduces, and extracts robustfeatures fromPakistani banknotes. After extracting thesefeatures, the paper proposes to use three layers feed-forward Backpropagation Neural Network (BPN) for classification. ...

The main goal of the present paper is to analyze the effects of currency collapses (a large devaluation of country’s nominal exchange rate) on real gross domestic products of six Asian countries (Iran, Indonesia, Malaysia, Pakistan, South Korea, and Turkey). A yearly data is collected from the WDI of the World Bank over the period 1980-2011. The econometric model includes the real GDP growt...