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Detecting visual plagiarism with perception hashing
KTH, School of Computer Science and Communication (CSC).
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

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
National Category
Computer Science
URN: urn:nbn:se:kth:diva-166771OAI: diva2:812148
Available from: 2015-05-17 Created: 2015-05-16 Last updated: 2015-05-17Bibliographically approved

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