CNN-SVM learning approach based human activity recognition
Although it has been encountered for a long time, the human activity recognition remains a
big challenge to tackle. Recently, several deep learning approaches have been proposed to …
big challenge to tackle. Recently, several deep learning approaches have been proposed to …
Face spoofing detection using improved SegNet architecture with a blur estimation technique
Biometrics has been increasingly used as the well-known technology for the identification
and verification of a person. Among the different biometric traits, the face has been …
and verification of a person. Among the different biometric traits, the face has been …
Face anti-spoofing via jointly modeling local texture and constructed depth
L Li, Z Yao, S Gao, H Han, Z Xia - Engineering Applications of Artificial …, 2024 - Elsevier
To solve the security problem posed by fake face presentation attacks in face recognition
systems, many detection methods have been proposed in recent years. Among these …
systems, many detection methods have been proposed in recent years. Among these …
Face anti-spoofing using CNN classifier & face liveness detection
RB Hadiprakoso, H Setiawan - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Biometrics with facial recognition is now widely used. A face identification system should
identify not only someone's faces but also detect spoofing attempts with printed face or …
identify not only someone's faces but also detect spoofing attempts with printed face or …
Deep content information retrieval for COVID-19 detection from chromatic CT scans
In this paper, we investigate the role of the chromatic information in CT scans in COVID-19
detection and we aim to confirm the inclusion of the artificial intelligence findings in assisting …
detection and we aim to confirm the inclusion of the artificial intelligence findings in assisting …
Ifast: Weakly supervised interpretable face anti-spoofing from single-shot binocular nir images
Single-shot face anti-spoofing (FAS) is a key technique for securing face recognition
systems, relying solely on static images as input. However, single-shot FAS remains a …
systems, relying solely on static images as input. However, single-shot FAS remains a …
A lite convolutional neural network built on permuted Xceptio-inception and Xceptio-reduction modules for texture based facial liveness recognition
A Satapathy, LMJ Livingston - Multimedia Tools and Applications, 2021 - Springer
Face recognition is one of the emerging areas in the field of biometric and computer vision
that plays an important role in numerous time-bound applications such as ATM payment …
that plays an important role in numerous time-bound applications such as ATM payment …
Taming self-supervised learning for presentation attack detection: De-folding and de-mixing
Biometric systems are vulnerable to presentation attacks (PAs) performed using various PA
instruments (PAIs). Even though there are numerous PA detection (PAD) techniques based …
instruments (PAIs). Even though there are numerous PA detection (PAD) techniques based …
Alzheimer's Disease Detection Based on Features Level Selection for CNN-SVM Combination
MA Zayene, H Basly, FE Sayadi - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Neurodegenerative disease especially dementia are reported as disease that leads to
death, Alzheimer's Disease (AD) is kind dementia that cause progressive and irreversible …
death, Alzheimer's Disease (AD) is kind dementia that cause progressive and irreversible …
Color conversion in deep autoencoders
A Akbarinia, R Gil-Rodríguez - Color and Imaging Conference, 2021 - library.imaging.org
While RGB is the status quo in machine vision, other color spaces offer higher utility in
distinct visual tasks. Here, the authors have investigated the impact of color spaces on the …
distinct visual tasks. Here, the authors have investigated the impact of color spaces on the …