FAKE INDIAN CURRENCY RECOGNITION SYSTEM WITH CONTRAST-LIMITED ADAPTIVE HISTOGRAM EQUALIZATION USING MATLAB

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

FAKE INDIAN CURRENCY RECOGNITION SYSTEM WITH CONTRAST-LIMITED ADAPTIVE HISTOGRAM EQUALIZATION USING MATLAB
Author(s):
KURELA ANANDA KUMAR, Mr. ANJI BABU
Keywords:
Fake Currency, KNN, ORB, DOG, SIFT
Abstract
This research created a computer vision-based method for detecting Indian paper cash. In this approach, currency features are extracted and custom datasets are created for currency detection. The front and back side security features of the Rs. 200 denomination Indian currency note were extracted using a feature extraction method. The ORB (Oriented FAST and Rotated BRIEF) and Brute-Force matcher approaches are primarily used. so that the obverse and reverse denominations of banknotes may be detected more correctly Our significant contribution is that we tested this method on several denominations of Indian banknotes using ORB and BF matchers in OpenCV. The average accuracy of detection is up to 95.0 percent.
Article Details
Unique Paper ID: 152854 Publication Volume & Issue: Volume 8, Issue 4 Page(s): 624 - 628
Article Preview & Download

Share This Article

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org