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Volume 12 Issue 07
July 2026
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Author(s)
Tanmay Chile Dilip Rajbhar Sumedh Jalbarao Umrajkar Shilpa Mhatre, Prof. Mahesh Bhule
Abstract
Our Aim Is To Provide Advancement In The Technology Used For Detection Of Fake Notes. We Have Included Android Phone Camera And A PC With MATLAB Software. The Technology We Have Used For Fake Note Detection Is More Efficient And Automated Than The One Whi
Keywords
Automation
Security
Fake Note Detector
HOG
Machine Learning
Paper ID
IJSARTV4I422513
Publication Date
April 9, 2018
Research Area
Electronics & Telecommunication Engineering