Faculty Of Computer Science Graduation Project 2019 - 2020

Permanent URI for this collectionhttp://185.252.233.37:4000/handle/123456789/3761

Browse

Browsing Faculty Of Computer Science Graduation Project 2019 - 2020 by Subject "Deep learning"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Fake watermark detection using deep learning
    (October University for Modern Sciences and Arts, 2020) Anany, Sheriff Mahmoud
    Water mark recognition contained many theories on how to be detected, historical water mark was only done on small scale as there were no public dataset, and the only model was done only comparing historical water mark according to type (Egyptian, Greek … etc.). the problem in historical water mark was that it can’t be recognized by naked eye like other water mark as it contains noise that cover the water mark and some colors are removed which has been dilemma for archeologist. This model used large dataset for historical watermark with the comparison of real and fake ones which hasn’t been made before. This make archeologist work easy and prevent any fake historical watermark to be involved in history.