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An Identity Authentication Method Combining Liveness Detection and Face Recognition

https://doi.org/10.3390/s19214733

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-70096-0_70openalex-snapshot

Ultra-deep Neural Network for Face Anti-spoofing

inferredcites →https://doi.org/10.1007/978-3-540-74549-5_27openalex-snapshot

Blinking-Based Live Face Detection Using Conditional Random Fields

inferredcites →https://doi.org/10.1109/btas.2017.8272713openalex-snapshot

Face anti-spoofing using patch and depth-based CNNs

inferredcites →https://doi.org/10.1109/cvpr.2015.7298682openalex-snapshot

FaceNet: A unified embedding for face recognition and clustering

inferredcites →https://doi.org/10.1109/cvprw.2013.23openalex-snapshot

Computationally Efficient Face Spoofing Detection with Motion Magnification

inferredcites →https://doi.org/10.1109/cvprw.2018.00096openalex-snapshot

Time Analysis of Pulse-Based Face Anti-Spoofing in Visible and NIR

inferredcites →https://doi.org/10.1109/icip.2017.8296251openalex-snapshot

Face anti-spoofing via deep local binary patterns

inferredcites →https://doi.org/10.1109/icmip.2017.9openalex-snapshot

3D Convolutional Neural Network Based on Face Anti-spoofing

inferredcites →https://doi.org/10.1109/icmlc.2008.4620894openalex-snapshot

Eye blink detection based on multiple Gabor response waves

inferredcites →https://doi.org/10.1109/icpr.2016.7900300openalex-snapshot

Generalized face anti-spoofing by detecting pulse from face videos

inferredcites →https://doi.org/10.1109/ijcnn.2019.8852422openalex-snapshot

A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing

inferredcites →https://doi.org/10.1109/ipta.2016.7821013openalex-snapshot

An original face anti-spoofing approach using partial convolutional neural network

inferredcites →https://doi.org/10.1109/lsp.2016.2603342openalex-snapshot

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

inferredcites →https://doi.org/10.1109/tifs.2007.902037openalex-snapshot

Real-Time Face Detection and Motion Analysis With Application in “Liveness” Assessment

inferredcites →https://doi.org/10.1109/tifs.2016.2555286openalex-snapshot

Face Spoofing Detection Using Colour Texture Analysis

inferredcites →https://doi.org/10.1109/tifs.2018.2825949openalex-snapshot

Learning Generalized Deep Feature Representation for Face Anti-Spoofing

inferredcites →https://doi.org/10.1109/tip.2015.2395951openalex-snapshot

Presentation Attack Detection for Face Recognition Using Light Field Camera

inferredcites →https://doi.org/10.1145/2590296.2590315openalex-snapshot

Understanding OSN-based facial disclosure against face authentication systems

inferredcites →https://doi.org/10.1186/1687-5281-2014-2openalex-snapshot

Face liveness detection using dynamic texture

inferredcites →https://doi.org/10.3390/computers5020010openalex-snapshot

Face Liveness Detection Using Dynamic Local Ternary Pattern (DLTP)

inferredcites →https://doi.org/10.3390/computers5040021openalex-snapshot

A Survey of 2D Face Recognition Techniques

inferredcites →https://doi.org/10.3390/s19081928openalex-snapshot

The Effectiveness of Depth Data in Liveness Face Authentication Using 3D Sensor Cameras

inferredcites →https://doi.org/10.3390/sym9120305openalex-snapshot

Face Liveness Detection Based on Skin Blood Flow Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Identity Authentication Technology in Edge Computing Environment: Vision and Challenges

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WearMask in COVID-19: Identification of Wearing Facemask Based on Using CNN Model and Pre-trained CNN Models

inferred← citeshttps://doi.org/10.1007/978-3-031-12413-6_61openalex-snapshot

A Productive On-device Face Authentication Architecture for Embedded Systems

inferred← citeshttps://doi.org/10.1007/978-3-031-13150-9_18openalex-snapshot

Facial Liveness Detection in Biometrics: A Multivocal Literature Review

inferred← citeshttps://doi.org/10.1007/978-3-032-00232-7_17openalex-snapshot

Evaluating LSTM and GRU for Video-Based Liveness Detection in Facial Recognition Systems

inferred← citeshttps://doi.org/10.1016/b978-0-12-819295-5.00010-xopenalex-snapshot

Bone age assessment using metric learning on small dataset of hand radiographs

inferred← citeshttps://doi.org/10.1016/j.cose.2020.101831openalex-snapshot

An algorithmic approach for optimising biometric systems using liveness and coercion detection

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117207openalex-snapshot

DOG-ADTCP: A new feature descriptor for protection of face identification system

inferred← citeshttps://doi.org/10.1016/j.inffus.2021.04.015openalex-snapshot

A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods

inferred← citeshttps://doi.org/10.1049/ipr2.12903openalex-snapshot

A lightweight deep learning model for real‐time face recognition

inferred← citeshttps://doi.org/10.1063/5.0118073openalex-snapshot

AI based face recognition system using FaceNet deep learning architecture

inferred← citeshttps://doi.org/10.1080/1206212x.2025.2537892openalex-snapshot

Large-scale deep learning based face recognition utilizing vector database technologies: current trends, challenges, and solutions

inferred← citeshttps://doi.org/10.1109/access.2024.3503587openalex-snapshot

A Systematic Literature Review of Zero Trust Architecture for Military UAV Security Systems

inferred← citeshttps://doi.org/10.1109/amlds63918.2025.11159358openalex-snapshot

Liveness Detection Based on Eye Blinks and Pose Estimation Utilizing MediaPipe Deep Learning Model

inferred← citeshttps://doi.org/10.1109/icarcv63323.2024.10821612openalex-snapshot

Person Recognition and Authenticity Through Facial Analysis Combining LSTM and Siamese Networks

inferred← citeshttps://doi.org/10.1109/iciss66954.2025.11389507openalex-snapshot

Design and Implementation of a Real-Time Smart Door Lock with FaceNet Face Authentication and Blink Detection

inferred← citeshttps://doi.org/10.1109/icoct64433.2025.11118877openalex-snapshot

Real-Time Face Detection and Anti-Spoofing with MTCNN and DenseNet201 for Secure Biometric Authentication

inferred← citeshttps://doi.org/10.1109/ietc54973.2022.9796673openalex-snapshot

Facial Password Data Augmentation

inferred← citeshttps://doi.org/10.1109/imsa58542.2023.10217752openalex-snapshot

Biometric Authentication Using Face Thermal Images Based on Neural Fuzzy Extractor

inferred← citeshttps://doi.org/10.1109/sita67914.2025.11273510openalex-snapshot

Generalized Passive Face Liveness Detection Using Region-Specific Mixture-of-Experts

inferred← citeshttps://doi.org/10.1109/stsiva53688.2021.9591668openalex-snapshot

Cascaded Convolutional Generator Networks For Solving Imaging Inverse Problems

inferred← citeshttps://doi.org/10.1109/tii.2021.3129629openalex-snapshot

Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations

inferred← citeshttps://doi.org/10.1109/wacvw65960.2025.00157openalex-snapshot

Unified Face Matching and Physical-Digital Spoofing Attack Detection

inferred← citeshttps://doi.org/10.1145/3591106.3592280openalex-snapshot

A Multi-Teacher Assisted Knowledge Distillation Approach for Enhanced Face Image Authentication

inferred← citeshttps://doi.org/10.1186/s13045-020-00925-yopenalex-snapshot

Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

inferred← citeshttps://doi.org/10.12720/jait.15.11.1252-1263openalex-snapshot

Comparative Analysis of Pre-trained Deep Learning Models for Facial Landmark Localization on Enhanced Dataset of Heavily Occluded Face Images

inferred← citeshttps://doi.org/10.20944/preprints202403.0349.v1openalex-snapshot

A Systematic Literature Review of Zero Trust Architecture for UAV Security Systems in IoBT

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3824202/v1openalex-snapshot

Empirical Performance Analysis of Deep Convolutional Neural Networks Architectures for Face Liveness Detection

inferred← citeshttps://doi.org/10.24002/ijis.v4i2.5439openalex-snapshot

A Survey of Face Recognition based on Convolutional Neural Network

inferred← citeshttps://doi.org/10.33795/jip.v9i4.1332openalex-snapshot

IMPLEMENTATION OF FACE RECOGNITION AND LIVENESS DETECTION SYSTEM USING TENSORFLOW.JS

inferred← citeshttps://doi.org/10.3389/fncom.2022.909553openalex-snapshot

A P300-Detection Method Based on Logistic Regression and a Convolutional Neural Network

inferred← citeshttps://doi.org/10.3390/fi15040146openalex-snapshot

A Systematic Survey of Multi-Factor Authentication for Cloud Infrastructure

inferred← citeshttps://doi.org/10.3390/s20185236openalex-snapshot

Identifying Facemask-Wearing Condition Using Image Super-Resolution with Classification Network to Prevent COVID-19

inferred← citeshttps://doi.org/10.3390/s20216114openalex-snapshot

Lightweight and Resource-Constrained Learning Network for Face Recognition with Performance Optimization

inferred← citeshttps://doi.org/10.3390/sym14081750openalex-snapshot

An Intelligent Vision-Based Tracking Method for Underground Human Using Infrared Videos

inferred← citeshttps://doi.org/10.33998/jakakom.2022.2.1.63openalex-snapshot

Perancangan Sistem Absensi Facial Recognition Menggunakan CNN dan Liveness Detector pada BPR Central Dana Mandiri

inferred← citeshttps://doi.org/10.4018/ijdst.307987openalex-snapshot

Face Detection-Induced Access Control System via Large Margin Metric Learning

inferred← citeshttps://doi.org/10.55041/ijsrem34580openalex-snapshot

Revolutionizing Identity Verification and Recognition

inferred← citeshttps://doi.org/10.55041/ijsrem35159openalex-snapshot

Research Paper on Transformative Innovations in Identity Verification and Recognition

inferred← citeshttps://doi.org/10.55511/jpsttd.v15i2.686openalex-snapshot

Advances in Driver Monitoring: A Review of Liveness Detection Techniques

inferred← citeshttps://doi.org/10.6084/m9.figshare.12610349openalex-snapshot

Additional file 1 of Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

inferred← citeshttps://doi.org/10.6084/m9.figshare.12610352openalex-snapshot

Additional file 2 of Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

inferred← citeshttps://doi.org/10.6084/m9.figshare.12610355openalex-snapshot

Additional file 3 of Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

inferred← citeshttps://doi.org/10.6084/m9.figshare.12610358openalex-snapshot

Additional file 4 of Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

inferred← citeshttps://doi.org/10.6084/m9.figshare.12610361openalex-snapshot

Additional file 5 of Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning

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