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 …
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 …
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 …
A deep learning model for classifying human facial expressions from infrared thermal images
The analysis of human facial expressions from the thermal images captured by the Infrared
Thermal Imaging (IRTI) cameras has recently gained importance compared to images …
Thermal Imaging (IRTI) cameras has recently gained importance compared to images …
An intelligent fruits classification in precision agriculture using bilinear pooling convolutional neural networks
AJ Prakash, P Prakasam - The Visual Computer, 2023 - Springer
With an increase in the consumption of fruits day by day, the yielding and production around
the world are also increasing at a steady rate. Meanwhile, the workforce in the field becomes …
the world are also increasing at a steady rate. Meanwhile, the workforce in the field becomes …
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 …
Non‑invasive leaf hydration status determination through convolutional neural networks based on multispectral images in chrysanthemum
D Fanourakis, VM Papadakis, M Machado… - Plant Growth …, 2024 - Springer
The potential of employing multispectral data (400–1050 nm) for estimating leaf relative
water content (RWC) and water content (WC) was investigated in chrysanthemum …
water content (RWC) and water content (WC) was investigated in chrysanthemum …
Aircraft detection in satellite imagery using deep learning-based object detectors
Over the recent years, object detection in satellite imagery has become a crucial task in
remote sensing applications. Specifically, the detection of aircraft is critical for military …
remote sensing applications. Specifically, the detection of aircraft is critical for military …
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 …
Hyperspectral image analysis for writer identification using deep learning
AU Islam, MJ Khan, K Khurshid… - 2019 digital image …, 2019 - ieeexplore.ieee.org
Handwriting is a behavioral characteristic of human beings that is one of the common
idiosyncrasies utilized for litigation purposes. Writer identification is commonly used for …
idiosyncrasies utilized for litigation purposes. Writer identification is commonly used for …