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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL PENGABDIAN KEPADA MASYARAKAT Edu Komputika Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JMM (Jurnal Masyarakat Mandiri) ILKOM Jurnal Ilmiah JETL (Journal Of Education, Teaching and Learning) JTIM : Jurnal Teknologi Informasi dan Multimedia JINAV: Journal of Information and Visualization Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Komunikasi Global
Nurhopipah, Ade
Department Of Informatics, Universitas Amikom Purwokerto
Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : JINAV: Journal of Information and Visualization

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Analysis of Detecting the Authenticity of Money Using the Edge Detection Method Widianto, Nabella Putri; Indartono, Kuat; Nurhopipah, Ade
JINAV: Journal of Information and Visualization Vol. 5 No. 1 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav2372

Abstract

One of the factors contributing to the increasing number of banknotes counterfeiting crimes is the technological advancements that have been made in the digital printing industry. Duplications that are very similar and even difficult to distinguish from the original banknote sheet are made easily due to high-quality duplication. Viewing, feeling, and looking carefully at a banknote is the traditional way to check the authenticity of a banknotes. And of course, due to the limitations of human capabilities, such methods are ineffective for many banknotes. Effectively and efficiently, edge detection can be completed by image processing or image processing methods. Using the camera, both real and fake banknotes are transferred. This results in two photos saved as JPG files representing both banknotes. After that, the conversion process to greyscale is carried out, edge observations are made on the image, and then a histogram of both images is created. The results of the histogram were compared and texture was analyzed as judged by the brightness and sharpness of the image. Keywords: Edge Detection, Fake Money, Histogram, Real Money, Texture Analysis.
Co-Authors Agus Harjoko Anan Widianto Arif Munandar Dani Arifudin Ferdiyansyah, Achmad Indra Alan Nugroho Irfan Rifai Azziz Jali Suhaman Jali Suhaman Jali Suhaman Jali Suhaman Jali Suhaman Krisno, Krisno Kuat Indartono Kusuma, Bagus Adhi Larasati, Nurriza Amalia Magnolia, Cindy Moza Tri Humanita Mutiara, Dwi Ayu Nuraida, Ida Primandani Arsi Uswatun Hasanah Uswatun Hasanah Uswatun Hasanah Widianto, Nabella Putri Wiga Maulana Baihaqi