Ink Mismatch Detection From Hyperspectral Image Document

Nadia jabeen

doi:10.20944/preprints202306.1046.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 14 June 2023 / Approved: 14 June 2023 / Online: 14 June 2023 (11:12:10 CEST)

Forensic document examiners can determine the authenticity of questioned documents by analyzing the ink used to create them. If an ink mismatch is found, it could be a sign of scam, backdating, or forgery. In this research a Hyperspectral Images of iVision HHID dataset is used to detect number of possible inks used in document. By using Hyperspectral Images, it’s possible to detect ink mismatch in a given document. In this research unsupervised learning method K-means is used to detect number of inks. Approximate number of clusters are determined by Elbow and Silhouette method before implementation of K-means.

Hyperspectral Images; forensic; Ink mismatch detection; K-means; Elbow; silhouette; iVision HHID dataset

Computer Science and Mathematics, Computer Science

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Ink Mismatch Detection From Hyperspectral Image Document

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