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2. Unicheck - Wikipedia

   en.wikipedia.org/wiki/Unicheck

   The check results are presented as a similarity report, where each of the similarities that have been found has a link to the source. These reports can be downloaded as PDF documents. Unicheck can be used as a stand-alone online tool, or integrated into an LMS (Learning Management System) via plugin , LTI , API or LTI+API types of integrations.

3. Content similarity detection - Wikipedia

   en.wikipedia.org/wiki/Content_similarity_detection

   A study was conducted to test the effectiveness of similarity detection software in a higher education setting. One part of the study assigned one group of students to write a paper. These students were first educated about plagiarism and informed that their work was to be run through a content similarity detection system.

4. Substantial similarity - Wikipedia

   en.wikipedia.org/wiki/Substantial_similarity

   A showing that features of the two works are not similar does not bar a finding of substantial similarity, if such similarity as does exist clears the de minimis threshold. [3] The substantial similarity standard is used for all kinds of copyrighted subject matter: books, photographs, plays, music, software, etc. It may also cross media, as in ...

5. Jaccard index - Wikipedia

   en.wikipedia.org/wiki/Jaccard_index

   In that paper, a "similarity ratio" is given over bitmaps, where each bit of a fixed-size array represents the presence or absence of a characteristic in the plant being modelled. The definition of the ratio is the number of common bits, divided by the number of bits set ( i.e. nonzero) in either sample.

6. Content-based image retrieval - Wikipedia

   en.wikipedia.org/wiki/Content-based_image_retrieval

   General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).

7. Structural similarity index measure - Wikipedia

   en.wikipedia.org/wiki/Structural_similarity...

   The resultant SSIM index is a decimal value between -1 and 1, where 1 indicates perfect similarity, 0 indicates no similarity, and -1 indicates perfect anti-correlation. For an image, it is typically calculated using a sliding Gaussian window of size 11x11 or a block window of size 8×8.