Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT)
Ahmad Imam Rauyani
Department of Electrical Engineering Universitas Sebelas Maret
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
ROI based Indonesian Paper Currency Recognition Using Canny Edge Detection Ahmad Imam Rauyani; Muhammad Hamka Ibrahim; Subuh Pramono
Journal of Electrical, Electronic, Information, and Communication Technology Vol 2, No 1 (2020): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.2.1.41349

Abstract

Paper currency recognition is important for automatic payment system. The paper performs a nominal paper detection process using image processing with canny method implemented in python programming language. The canny method is used to find edge features in the nominal currency. By using template matching of image reference, region of interest (ROI) of nominal value is extracted so that it can be used in any orientation of  paper currency image. The ROI of nominal image is processed by canny edge method and spatial transformation to strengthen the image features and being processed by template matching to decide nominal currency. The study has successfully tested nominal value of 1000, 2000, 5000, 10000, 20000, 50000, and 100000 Indonesia banknotes which then the currency value will appear in the value variable in python.
Co-Authors Muhammad Hamka Ibrahim Subuh Pramono