عنوان مقاله :
An Intelligent Method for Indian Counterfeit Paper Currency Detection
عنوان به زبان ديگر :
An Intelligent Method for Indian Counterfeit Paper Currency Detection
پديد آورندگان :
Andrushia، Diana Department of ECE - Karunya Institute of Technology and Sciences, India , Neebha، Mary Department of ECE - Karunya Institute of Technology and Sciences, India , Bella Mary، Thusnavis Department of ECE - Karunya Institute of Technology and Sciences, India
كليدواژه :
SVM , Indian paper currency , Counterfeit currency , Currency detection , Intelligent system
چكيده لاتين :
The production of counterfeit paper currencies has become cheaper because of the advancement in the printing technologies. The circulation of counterfeit currencies down the economy of a country. By leveraging this, there is a mandate to develop an intelligent technique for the detection and classification of counterfeit currencies. The intelligent techniques play a major role in the field of Human Computer Interaction (HCI) too. This paper deals with the detection of counterfeit Indian currencies. The proposed method feature extraction is based on the characteristics of Indian paper currencies. The first order and second order statistical features are extracted initially from the input. The effective feature vectors are given to the SVM classifier unit for classification. The proposed method produced classification accuracy of 95.8%. The experimental results are compared with state-of-the methods and produced reliable results.
عنوان نشريه :
مديريت فناوري اطلاعات
