Publication2025
Offline Signature Verification using CNN and Siamese Networks: A Comparative Analysis
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 3rd International Conference on Microwave Optical and Communication Engineering Icmoce 2025
- Published
- 1 January 2025
- DOI
- 10.1109/icmoce64100.2025.11076810
- Scopus ID
- 105012575336
- Authors
- 6
- Open access
- No
- Citations
- 4
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Biometric security research comparing CNN and Siamese neural networks for offline signature verification and authentication.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- 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
Viksit Bharat @2047
vb-3.4 Intellectual property and deep tech
Security technology innovation in biometric authentication systems using deep learning architectures.
- 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. “Offline Signature Verification using CNN and Siamese Networks: A Comparative Analysis”. Kortex.