A customized CNN model for signature authentication—Forensic implications
- DOI
- 10.1177/00258024261420542
- Published
- 2026-02-13
- Container
- Medicine, Science and the Law
- Publisher
- SAGE Publications
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1177/00258024261420542,
title = {A customized CNN model for signature authentication—Forensic implications},
author = {Rakesh Meena and Damini Siwan and Ankita Guleria and Nandini Chitara and Peehul Krishan and Akansha Rana and Ritika Verma and Ayushi Srivastava and Tej Kaur and Vishal Sharma and Abhik Ghosh and Kewal Krishan},
year = {2026},
journal = {Medicine, Science and the Law},
doi = {10.1177/00258024261420542},
url = {https://doi.org/10.1177/00258024261420542}
}RIS
TY - JOUR TI - A customized CNN model for signature authentication—Forensic implications AU - Rakesh Meena AU - Damini Siwan AU - Ankita Guleria AU - Nandini Chitara AU - Peehul Krishan AU - Akansha Rana AU - Ritika Verma AU - Ayushi Srivastava AU - Tej Kaur AU - Vishal Sharma AU - Abhik Ghosh AU - Kewal Krishan PY - 2026 JO - Medicine, Science and the Law DO - 10.1177/00258024261420542 UR - https://doi.org/10.1177/00258024261420542 ER -
APA
Meena, R., Siwan, D., Guleria, A., Chitara, N., Krishan, P., Rana, A., Verma, R., Srivastava, A., Kaur, T., Sharma, V., Ghosh, A., & Krishan, K. (2026). A customized CNN model for signature authentication—Forensic implications. Medicine, Science and the Law. https://doi.org/10.1177/00258024261420542
Source records
- crossref · retrieved 2026-09-25T19:49:28.029Z