Quantum-inspired K-nearest neighbors classifier for enhanced printer source identification in forensic document analysis

Abstract Document source identification in printer forensics focuses on determining the source printer of a document by analyzing characteristics such as printer model, serial number, defects, or unique artifacts. This is crucial in forensic investigations involving counterfeit documents or anonymou...

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Bibliografiske detaljer

Principais autores:	Saad M. Darwish, Raad A. Ali, Adel A. Elzoghabi
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2025-02-01
Serier:	Scientific Reports
Fag:	Printer forensics Document source identification Quantum-inspired computing Feature modeling Classification
Online adgang:	https://doi.org/10.1038/s41598-025-86558-y
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