BEES: Bulletin of Electrical and Electronics Engineering
Vol 1 No 2 (2020): November 2020

Penerapan Metode Anaconda Untuk Mendeteksi Orisinalitas Citra Digital

Erwin Saputra Gultom (Universitas Budi Darma, Medan)



Article Info

Publish Date
30 Nov 2020

Abstract

Image plays a very important role in the form of visual information as one of the multimedia components. The circulation of images in digital form is very easy and fast either through social media or E-mail (Electronic-mail). Digital images are more dynamic and can be easily changed (editable) in terms of shapes, sizes, and objects that are in the digital image. Along with the development of technology and computers, the increase in computer crime has also increased, especially in image manipulation. There are many ways that people use to manipulate images that have a detrimental effect on others. The originality of a digital image is the authenticity of the image in terms of colors, shapes, objects and information without the slightest change from the other party. Nowadays many digital images circulating on the internet have been manipulated and even images have been used for material fraud in the competition, so we need a method that can detect the image is genuine or fake. In this study, the author uses the Anaconda Hash method to detect the originality of digital images, by using this method an image that is still doubtful of its authenticity can be found out that the image is authentic or fake.

Copyrights © 2020






Journal Info

Abbrev

bees

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Description

BEES: Bulletin of Electrical and Electronics Engineering focused on the energy system and power engineering, which is related to advance and develop technology on a wide-scope of all partial themes, but not limited, such as Control System, Artificial Intelligence, Informatics Engineering, ...