Detecting visual plagiarism with perception hashing
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Classifying images and deciding algorithmically whether or not they are the same image is a complex problem in com-puter science. This report looks at using perceptual hashing in order to fingerprint images so that they may be matched to one and other.
The results shows that threshold match-ing images can be done with good accuracy, while a zero distance match is not reliable in most scenarios. The con-clusion is that a hybrid approach that uses a more inclu-sive perception algorithm to filter out candidates for a more thorough algorithm might be a good choice.
Place, publisher, year, edition, pages
IdentifiersURN: urn:nbn:se:kth:diva-166771OAI: oai:DiVA.org:kth-166771DiVA: diva2:812148