System Implementation of Paper Currency Discrimination by Using Integrated Image Features
نویسندگان
چکیده
منابع مشابه
Robust Features and Paper Currency Recognition System
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. ...
متن کاملA Paper Currency Recognition System with Novel Features
One simple method of recognizing paper currencies has been introduced. It considers different dimensions, areas, Euler numbers, correlations between images as features. It uses Weighted Euclidean Distance for classification. The method uses the case of Saudi Arabian paper currency as a model currency under consideration. It uses fifth series of currency, issued by Saudi Arabian Monetary Agency ...
متن کاملA Review Paper on Currency Recognition System
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...
متن کاملDesign & Implementation of Features based Fingerprint Image Matching System
Fingerprints are a great basis for identification of persons. Fingerprint recognition is one of oldest procedures of biometric identification. However outcome a good fingerprint image is not always easy. So a fingerprint image must be pre-processed before matching. The objective of this paper is to present animproved and enhanced fingerprint image. We have considered the factors relating to obt...
متن کاملDetection of Fake currency using Image Processing
The main objective of this project is fake currency detection using the image processing. Fake currency detection is a process of finding the forgery currency. After choose the image apply preprocessing. In pre-processing the image to be crop, smooth and adjust. Convert the image into gray color. After conversion apply the image segmentation. The features are extracting and reduce. Finally comp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The KIPS Transactions:PartB
سال: 2002
ISSN: 1598-284X
DOI: 10.3745/kipstb.2002.9b.4.471