📄 IJAERD-OJS-3475
Indian Currency Classification using speeded up robust features
| Author(s) | : | Mr. Viranchi N Patel, Dr. Udesang K Jaliya, Dr.Keyur N Brahmbhatt |
| Institution | : | Information technology, Dharmsinh Desai University, Nadiad-387001 |
| Published In | : | Vol. 4, Issue 8 — August 2017 |
| Page No. | : | 299-305 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Abstract
In this research paper we have used Speeded up robust features (surf) method for features extraction.Currency database has been used for experiments. For currency database preparation color scanner is used. In ourexperiments, we also use two new currency of denomination 500rs and 2000rs which came recently in circulation. Thepre-processing like rotate and crop is applied on an input image. For classification, neural network classifier is used.The overall accuracy of the system is 99.8 %.
🕮 How to Cite
Mr. Viranchi N Patel, Dr. Udesang K Jaliya, Dr.Keyur N Brahmbhatt, “Indian Currency Classification using speeded up robust features”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 8, pp. 299-305, August 2017.
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