Document Similarity Detection using Rabin-Karp and Cosine Similarity Algorithms

Hartanto, Anggit Dwi; Pristyanto, Yoga; Saputra, Andy

doi:10.1109/ic2se52832.2021.9791999

Cited by 9 publications

(1 citation statement)

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“…Variations were made as well as the outcome is then shown. Joshi, M., & Khanna, K. [21]The paper 'Edge Detection Methods' tells regarding the edge detection which is a prominent technique for feature extraction method which helps in identifying lines over images. Bhattacharjee, et al [22] here the author designed the plagiarism identification mechanismforequations.Initiallyby taking each and every line from the word file.…”

Section: Literature Surveymentioning

confidence: 99%

A Comprehensive Survey of Advanced Image Processing and OCR Techniques for Enhanced Image Plagiarism Detection

Palvadi Srinivas Kumar

2024

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In today's digital world, sharing files, documents, and presentations online has become routine for both work and study purposes. However, this surge in online sharing has brought forth a significant challenge: plagiarism. Plagiarism will happen whenever the copied content in various sources by not giving proper credit. This paper delves into the realm of plagiarism detection, particularly focusing on images. We discuss various tools and techniques designed to detect plagiarism and compare their effectiveness based on factors like accuracy. Finally, we analyze the work of different authors and share common findings. Our research employs a thorough review process to ensure the accuracy of our conclusions. By emphasizing the use of AI-powered tools, our agenda is to promote sharing of original dataover the online domain.

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Section: Literature Surveymentioning

confidence: 99%