Deep learning meets hyperspectral image analysis: A multidisciplinary review
Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …
abundance of information; such a resource, however, poses many challenges in the …
[HTML][HTML] Current advances in imaging spectroscopy and its state-of-the-art applications
Imaging spectroscopy integrates traditional computer vision and spectroscopy into a single
system and has gained widespread acceptance as a non-destructive scientific instrument for …
system and has gained widespread acceptance as a non-destructive scientific instrument for …
Recent advances in counterfeit art, document, photo, hologram, and currency detection using hyperspectral imaging
Forgery and tampering continue to provide unnecessary economic burdens. Although new
anti-forgery and counterfeiting technologies arise, they inadvertently lead to the …
anti-forgery and counterfeiting technologies arise, they inadvertently lead to the …
Deep face recognition for biometric authentication
M Zulfiqar, F Syed, MJ Khan… - … conference on electrical …, 2019 - ieeexplore.ieee.org
Face is one of the most widely used biometrics for human identity authentication. Facial
recognition has remained an interesting and active research area in the past several …
recognition has remained an interesting and active research area in the past several …
Analysis of hyperspectral data to develop an approach for document images
Hyperspectral data analysis is being utilized as an effective and compelling tool for image
processing, providing unprecedented levels of information and insights for various …
processing, providing unprecedented levels of information and insights for various …
Critical insights into modern hyperspectral image applications through deep learning
Hyperspectral imaging has shown tremendous growth over the past three decades.
Hyperspectral imaging was evolved through remote sensing. Along, with the technological …
Hyperspectral imaging was evolved through remote sensing. Along, with the technological …
A spatio-spectral hybrid convolutional architecture for hyperspectral document authentication
Hyperspectral Document Image (HSDI) analysis allows for efficient and accurate
differentiation of inks with visually similar color but unique spectral response, which is a …
differentiation of inks with visually similar color but unique spectral response, which is a …
An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learning
Face recognition is diversely used in modern biometric and security applications. Most of the
current face recognition techniques show good results in a constrained environment …
current face recognition techniques show good results in a constrained environment …
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 …
Comparison of imaging models for spectral unmixing in oil painting
The radiation captured in spectral imaging depends on both the complex light–matter
interaction and the integration of the radiant light by the imaging system. In order to obtain …
interaction and the integration of the radiant light by the imaging system. In order to obtain …