Forgery Image Detection Using Machine Learning Algorithms - Ahmed Gazali Mounirou
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Several machine learning algorithms have been contributed to this thesis to overcome a forgery image issue and some appropriate datasets have played a vital role to provide good outcomes. In the first chapter of this thesis, a brief overview of the literature reviews, the structure of the thesis, the research questions, and aims are going to be presented. The main objective behind writing this thesis is to ... Full description
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Description
Several machine learning algorithms have been contributed to this thesis to overcome a forgery image issue and some appropriate datasets have played a vital role to provide good outcomes. In the first chapter of this thesis, a brief overview of the literature reviews, the structure of the thesis, the research questions, and aims are going to be presented. The main objective behind writing this thesis is to examine a number of machine learning algorithms and assess their performance on suitable datasets that serve the main goal of the thesis. In order to examine these datasets to fulfill the objective, we will have to use one of the programming languages such as Python which is very suitable for the purpose of the thesis as it has a number of libraries that make it easy to implement and examine.
More Information
| Author | Ahmed Gazali Mounirou |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2023 |
| Cover type | Softcover |
| EAN | 9786206783237 |