Forgery Detection in Hyperspectral Document Images using Graph Orthogonal Nonnegative Matrix Factorization.
Abderrahmane RahicheMohamed CherietPublished in: CVPR Workshops (2020)
Keyphrases
- document images
- hyperspectral
- nonnegative matrix factorization
- remote sensing
- hyperspectral images
- multispectral
- infrared
- negative matrix factorization
- matrix factorization
- hyperspectral data
- image data
- optical character recognition
- least squares
- scanned documents
- original data
- document clustering
- spectral clustering
- principal component analysis
- machine learning
- similarity measure
- image processing
- color images
- image analysis
- face recognition
- data sets