Writer Identification by Processing Hyperspectral Images Using Singular Value Decomposition and Linear Discriminant Analysis

Writer identification is a critical task in forensic document analysis, requiring precise methods to differentiate individual handwriting samples. This study presents a framework leveraging hyperspectral imaging (HSI) for writer identification, employing Singular Value Decomposition (SVD) to reconst...

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Библиографические подробности

Главные авторы:	Muhammad Moin Qasim, Saeed Mian Qaisar, Khurram Khurshid, Muhammad Nadeem
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2026-01-01
Серии:	IEEE Access
Предметы:	Writer identification hyperspectral imaging singular value decomposition linear discriminant analysis blind testing forensic document analysis
Online-ссылка:	https://ieeexplore.ieee.org/document/11408139/
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