Forgery investigation and detection has been a relevant topic
of interest for human beings since ages. Important messages
written and transported by kings in old ages were sealed with
signatures and stamps to achieve this purpose. But with the advent
of digital technology, forgery detection has become even more
important since tools for forgery have become vast as well. In this
paper a technique based on pixel clustering has been introduced
for detection of modification, alteration or forgery done with a
different ink color pen. Hyperspectral images are used for ink
mismatch detection in a handwritten note. We propose ink
classification based on pixel intensities values present in all the
bands of hyperspectral images of the handwritten note. Our
proposed technique is quite simple yet effective in detecting ink
mismatch with relatively high accuracy.
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