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Hyperspectral Imaging for Ink Mismatch Detection

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posted on 30.06.2020 by Nazish Iqbal, Sara Sheikh, Aqsa khan
The discovery of ink mismatch provides important clues to pre-writing examiners to indicate whether a particular manuscript is written by a specific pen, or if a particular part of a note (e.g., signature) is written on a different ink compared to any other ink. In this paper, we show that the hyperspectral image (HSI) of the handwritten notes differs between visually similar inks. For this purpose, we have created the first hyperspectral data domain for a handwritten image in various blue and black inks, containing 33 visual reference bands. In unsupervised clustering technique, visual responses of inks fall into different groups to allow the separation of two different inks from the text of the questions. The same method when used in the RGB scan of these outputs fails to accurately distinguish the ink because it is very difficult to separate the ink from the optical range. HSI overcomes RGB deficiencies and allows better discrimination between inks.

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Email Address of Submitting Author

nazishiqbal81@gmail.com

ORCID of Submitting Author

https://orcid.org/0000-0002-0323-5476

Submitting Author's Institution

Institute of space technology,Islamabad Pakistan

Submitting Author's Country

Pakistan

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