IMAGE FORGERY DETECTION WITH RESNET50 AND COMBINED FEATURE

LAMERE, LEONARD MAXIMUS (2023) IMAGE FORGERY DETECTION WITH RESNET50 AND COMBINED FEATURE. Other thesis, Universitas Katholik Soegijapranata Semarang.

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Abstract

Countless information can be found and easily accesed in the internet , however not all information can be trusted. Constructing and optimize a model that can be used to reliably discern whether an information especially those in image form is authentic or not , and to optimize is to gather more information and implement them , and the goal is to contribute in an attempt of building a robust image forgery detection. In other words , collecting information and data through training and testing to construct a robust model is the aim of the project. I expect the information and knowledge obtained from this research can be used as a basis of further research and study to make an even more robust detection of image forgery

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 004 Data processing & computer science
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: mr AM. Pudja Adjie Sudoso
Date Deposited: 05 Apr 2023 01:10
Last Modified: 18 Sep 2024 03:07
URI: http://repository.unika.ac.id/id/eprint/31402

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