Ink Classification in Hyperspectral Images

Abstract

<jats:p>Hyperspectral imaging provides vital information about the objects and elements present inside the image. That&amp;rsquo;s why they are very useful in satellite imagery as well as image forensics. Hyperspectral document analysis (HSDI) can be used for document authentication using ink analysis which can provide sufficient information about the composition and type of ink. In this project, we have implemented HSDI based ink classification technique using Principle Component Analysis for dimensionality reduction and K-means clustering for ink classification. This is unsupervised learning approach and it is very simple and efficient in order to classify limited number of bands. We have used this technique to classify 33 different bands of ink.</jats:p>

Ink Mismatch Detection From Hyperspectral Image Document

“…In remote sensing, art conservation and archaeology, artwork authentication, forensic science, image-guided surgery and medical diagnosis, crime scene analysis, food quality control, and defense and homeland security, hyperspectral imaging is widely employed [5]. Hyperspectral images contain multiple spectral bands that are beneficial for the automatic detection of ink mismatch [6]. The use of HSI analysis in forensic science has increased because it gives forensic analysts the ability to observe and analyze a wider range of forensic traces, including fingerprints, inks, bloodstains, hair, narcotics, etc.…”