Publication2020
A Robust Approach to Plagiarism Detection in Handwritten Documents
The record
- Type
- Publication
- Date
- 1 January 2020
- Level
- National
- Journal
- Lecture Notes in Computer Science
- Volume
- 12510 LNCS
- Pages
- 682-693
- Published
- 1 January 2020
- DOI
- 10.1007/978-3-030-64559-5_54
- Scopus ID
- 85098185657
- ISSN
- 03029743
- Authors
- 3
- Open access
- No
- Citations
- 3
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
16.3 Promote the rule of law at the national and international levels and ensure equal access to justice for all
Plagiarism detection in handwritten documents using deep learning addresses document authenticity and institutional integrity.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
CNN-BiLSTM pipeline for document analysis represents computer vision and machine learning research.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Deep learning approach to academic integrity verification demonstrates digital technology application.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “A Robust Approach to Plagiarism Detection in Handwritten Documents”. Kortex.