A survey on antispoofing schemes for fingerprint recognition systems
Several issues related to the vulnerability of fingerprint recognition systems to attacks have
been highlighted in the biometrics literature. One such vulnerability involves the use of …
been highlighted in the biometrics literature. One such vulnerability involves the use of …
A survey of emotion recognition methods with emphasis on E-Learning environments
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
Image matching from handcrafted to deep features: A survey
As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …
then correspond the same or similar structure/content from two or more images. Over the …
Murf: Mutually reinforcing multi-modal image registration and fusion
Existing image fusion methods are typically limited to aligned source images and have to
“tolerate” parallaxes when images are unaligned. Simultaneously, the large variances …
“tolerate” parallaxes when images are unaligned. Simultaneously, the large variances …
Texture feature extraction methods: A survey
A Humeau-Heurtier - IEEE access, 2019 - ieeexplore.ieee.org
Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
Spoofing detection system for e-health digital twin using EfficientNet Convolution Neural Network
Digital Twin is the mirror image of any living or non-living objects. Digital Twin and Cyber-
physical system (CPS) provides a new era for industries especially in the healthcare sector …
physical system (CPS) provides a new era for industries especially in the healthcare sector …
[PDF][PDF] Age and gender classification using convolutional neural networks
Automatic age and gender classification has become relevant to an increasing amount of
applications, particularly since the rise of social platforms and social media. Nevertheless …
applications, particularly since the rise of social platforms and social media. Nevertheless …
From BoW to CNN: Two decades of texture representation for texture classification
Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …
is one of the essential and challenging problems in computer vision and pattern recognition …
Complete and accurate holly fruits counting using YOLOX object detection
Y Zhang, W Zhang, J Yu, L He, J Chen, Y He - Computers and Electronics in …, 2022 - Elsevier
Fruits counting is important in management of orchard and plantation since better decision
for labor and logistic can be made based on complete and accurate counting of fruits …
for labor and logistic can be made based on complete and accurate counting of fruits …
Median robust extended local binary pattern for texture classification
Local binary patterns (LBP) are considered among the most computationally efficient high-
performance texture features. However, the LBP method is very sensitive to image noise and …
performance texture features. However, the LBP method is very sensitive to image noise and …