Enhancing Image Plagiarism Detection Through Perceptual Hashing and Edge Analysis

Abstract

In a time when digital photography is so common, the significance of preserving the integrity of visual content cannot be stressed. In this study, a novel combination of perceptual hashing and edge analysis methodologies is used to improve picture plagiarism detection. This method's careful design is centered on the challenging problem of finding visually identical or altered photographs within the large digital environment. A useful method for identifying photocopying is perceptual hashing, which has roots in computer vision. It recovers unique image fingerprints that exhibit resilience to slight alterations. Parallel to this, we evaluate the intricate structural elements of photographs using edge detection techniques, making it simpler to discern copied content from the original source.

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