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Paper Title: A new approach in counterfeit Note Detection Using SURF Features
Authors Name: Sachin Meshram , Suman Pahade
Unique Id: IJSDR1806056
Published In: Volume 3 Issue 6, June-2018
Abstract: Fake Indian Currency Note (FICN) is a term used by officials and media to refer to counterfeit currency notes circulated in the Indian economy. In 2012, while responding to a question in parliament, admitted that there is no confirmed estimate of fake currency in India..The Indian currency recognition is an image processing technology that is used to identify fake Indian note. Indian currency use in day to day life the importance for automatic methods for Indian currency recognition has been increasing and efficient method for currency recognition is used in many sectors such as railway ticket counters , banking system, shopping malls, currency exchange services etc, due to this automatic currency reorganization has been the interest of research .The thesis describe the design of automatic recognition of Indian currency . In this research a software solution which takes the image of an Indian currency from scanner and camera as an input. This combines the surf features characteristic and local features descriptors to design a four level classifier both component are design implemented using matlab.
Keywords: Image processing, currency recogonization, speeded up robust features (SURF) MATLAB, features detection and extraction.
Cite Article: "A new approach in counterfeit Note Detection Using SURF Features", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.349 - 352, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1806056.pdf
Downloads: 000201506
Publication Details: Published Paper ID: IJSDR1806056
Registration ID:180446
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
Page No: 349 - 352
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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