Integration of hyperspectral imaging and autoencoders: Benefits, applications, hyperparameter tunning and challenges
Hyperspectral imaging (HSI) is a powerful tool that can capture and analyze a range of
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …
spectral bands, providing unparalleled levels of precision and accuracy in data analysis …
Deep feature extraction for document forgery detection with convolutional autoencoders
Context Document forgery is a significant problem for ages due to paper-based documents'
pervasive use. Classical destructive approaches for this problem, such as chromatography …
pervasive use. Classical destructive approaches for this problem, such as chromatography …
DFD-SS: Document forgery detection using spectral–spatial features for hyperspectral images
In the present era of machines and edge-cutting technologies, still document frauds persist.
They are done intuitively by using almost identical inks, that it becomes challenging to detect …
They are done intuitively by using almost identical inks, that it becomes challenging to detect …
[HTML][HTML] An efficient technique for detecting document forgery in hyperspectral document images
In document forensics, identifying ink mismatches is crucial for detecting forgeries and
determining document authenticity. However, identifying and separating specific inks from …
determining document authenticity. However, identifying and separating specific inks from …
Classification and feature extraction for document forgery images
Hyperspectral images (HSIs) are captured over continuous wavebands. It includes the
object's spatial as well as spectral information. Different materials have different reflection …
object's spatial as well as spectral information. Different materials have different reflection …