Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson's disease
The patients' vocal Parkinson's disease (PD) changes could be identified early on, allowing
for management before physically incapacitating symptoms appear. In this work, static as …
for management before physically incapacitating symptoms appear. In this work, static as …
Iris liveness detection for biometric authentication: A systematic literature review and future directions
Biometrics is progressively becoming vital due to vulnerabilities of traditional security
systems leading to frequent security breaches. Biometrics is an automated device that …
systems leading to frequent security breaches. Biometrics is an automated device that …
[HTML][HTML] Low-altitude aerial video surveillance via one-class SVM anomaly detection from textural features in UAV images
In recent years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many
video surveillance applications, such as vehicle tracking, border control, dangerous object …
video surveillance applications, such as vehicle tracking, border control, dangerous object …
A contemporary survey of multimodal presentation attack detection techniques: challenges and opportunities
Biometric recognition is a broad and dynamic field of research but the main problem of this
field is spoofing attack or presentation attack “use of fake biometric in place of the real …
field is spoofing attack or presentation attack “use of fake biometric in place of the real …
Detection of iris presentation attacks using hybridization of discrete cosine transform and haar transform with machine learning classifiers and ensembles
Iris biometric identification allows for contactless authentication, which helps to avoid the
transmission of diseases like COVID-19. Biometric systems become unstable and …
transmission of diseases like COVID-19. Biometric systems become unstable and …
Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data
A Kumar, N Varshney, S Bhatiya… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
We live in an age where everything around us is being created. Data generation rates are so
scary, creating pressure to implement costly and straightforward data storage and recovery …
scary, creating pressure to implement costly and straightforward data storage and recovery …
Detection of iris presentation attacks using feature fusion of thepade's sorted block truncation coding with gray-level co-occurrence matrix features
Iris biometric detection provides contactless authentication, preventing the spread of COVID-
19-like contagious diseases. However, these systems are prone to spoofing attacks …
19-like contagious diseases. However, these systems are prone to spoofing attacks …
Iris print attack detection using eye movement signals
Iris-based biometric authentication is a wide-spread biometric modality due to its accuracy,
among other benefits. Improving the resistance of iris biometrics to spoofing attacks is an …
among other benefits. Improving the resistance of iris biometrics to spoofing attacks is an …
Iris liveness detection using fragmental energy of HAAR transformed iris images using ensemble of machine learning classifiers
Contactless verification is possible with iris biometric identification, which helps prevent
infections like COVID-19 from spreading. Biometric systems have grown unsteady and …
infections like COVID-19 from spreading. Biometric systems have grown unsteady and …
Bibliometric survey on biometric iris liveness detection
Authentication is an essential step for giving access to resources to authorized individuals
and prevent leakage of confidential information. The traditional authentication systems like a …
and prevent leakage of confidential information. The traditional authentication systems like a …