Results 151 to 160 of about 126,175 (202)

Face Spoofing Detection

2025 1st International Conference on Data Science and Intelligent Network Computing (ICDSINC)
With the increasing speed of digital identity verification technology, face recognition technology has primarily been applied to biometric authentication in e-learning systems, smart attendance systems, and secure access control.
Parneeta Dhaliwal, Roshi Saxena, Faiz Ali, S. Reddy, Y.Sujeeth Reddy   +4 more
semanticscholar   +2 more sources

Texture and quality analysis for face spoofing detection

Computers & Electrical Engineering, 2021
Abstract Due to the increasing importance of security and access restrictions, the urge for implementing face recognition systems is increasing at an unprecedented rate. However, the vulnerability towards spoofing attacks limits the further progress of face recognition systems.
Neenu Daniel, A. Anitha
semanticscholar   +2 more sources

An Overview of Biometrics and Face Spoofing Detection

, 2020
Biometric systems have been using widely and these systems have improved substantially which are being used for persons Authentication and verification. This Biometrics is playing a key role in Personal, National and Global security. The main approach of this paper is to tell the importance of Biometric systems.
Sista Venkata Naga Veerabhadra Sai Sudeep, S. Kiran, Durgesh Nandan, Sanjeev Kumar   +3 more
semanticscholar   +2 more sources

Face spoofing detection ensemble via multistage optimisation and pruning

Pattern Recognition Letters, 2022
Josef Kittler, Ali Akbari, Shahrokh Asadi   +2 more
exaly   +2 more sources

Edge and Texture Analysis for Face Spoofing Detection

2023 International Conference on Networking and Advanced Systems (ICNAS), 2023
With the increasing use of biometric technology in various applications of daily life, face spoofing detection technology plays a crucial role in securing them against fraudulent access.
Bahia Yahya-Zoubir, Meriem Fedila, F. Mokdad   +2 more
semanticscholar   +1 more source

Texture, Quality, and Motion-Based Analysis for Face Spoofing Detection System: A Review

2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2023
Face recognition systems' use, credibility, and implementation are rapidly increasing due to their efficient and non-intrusive advantages over other biometric systems, such as speech recognition and identification.
Neetika Gupta, Amandeep Kaur
semanticscholar   +1 more source

Face Spoofing Detection Using DenseNet

2021
Today, face recognition is the most widely used biometric recognition technology. However, face recognition is a biometric method that is vulnerable to spoofing. Types of spoofing attack include print, replay, and 3D mask. Methods based on hand-crafted features such as local binary patterns which use high-frequency features of images, are therefore ...
Su-Gyeong Yu, So Eui Kim, Kun Ha Suh, Eui Chul Lee   +3 more
openaire   +1 more source

Face Spoof Detection: An Experimental Framework

2021
Face recognition has recently become widespread in security applications. Although advancing technology has improved the performance of these systems, they are still prone to various attacks, including spoofing. The inherent feature extraction capability of machine learning techniques and deep neural networks has facilitated more accurate performance ...
Faseela Abdullakutty, Eyad Elyan, Pamela Johnston   +2 more
openaire   +1 more source

Face spoofing detection based on color texture Markov feature and support vector machine recursive feature elimination

Journal of Visual Communication and Image Representation, 2018
Fei Peng, Le-Bing Zhang, Min Long
exaly   +2 more sources

Automated Face Spoofing Detection using Machine Learning: A Review

International Conference on Computing for Sustainable Global Development, 2022
Face spoofing/ liveliness is using someone's identity for doing criminal activities. Taking a survey from past years, face spoof attacks have become very dangerous to society specially in bank frauds, social media etc.
Raheel Hassan, Mandeep Kaur, A. Rajpoot
semanticscholar   +1 more source