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

Conference Alert

ICM - STEP

International conference on Management, Science, Technology, Engineering, Pharmact and Humanities.

Latest Publication

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

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

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies