Results 1 to 10 of about 2,994,964 (187)

Face Spoofing, Age, Gender and Facial Expression Recognition Using Advance Neural Network Architecture-Based Biometric System [PDF]

Sensors, 2022
Nowadays, the demand for soft-biometric-based devices is increasing rapidly because of the huge use of electronics items such as mobiles, laptops and electronic gadgets in daily life.
Sandeep Kumar, Shilpa Rani, Arpit Jain, Chaman Verma, Maria Simona Raboaca, Zoltán Illés, Bogdan Constantin Neagu   +6 more
doaj   +3 more sources

Face Spoofing Detection using Inception-v3 on RGB Modal and Depth Modal

Jurnal Ilmu Komputer dan Informasi, 2023
Face spoofing can provide inaccurate face verification results in the face recognition system. Deep learning has been widely used to solve face spoofing problems.
Yuni Arti, Aniati Murni Arymurthy
doaj   +2 more sources

Evaluating and Enhancing Face Anti-Spoofing Algorithms for Light Makeup: A General Detection Approach [PDF]

Sensors
Makeup modifies facial textures and colors, impacting the precision of face anti-spoofing systems. Many individuals opt for light makeup in their daily lives, which generally does not hinder face identity recognition.
Zhimao Lai, Yang Guo, Yongjian Hu, Wenkang Su, Renhai Feng   +4 more
doaj   +2 more sources

A Color-Texture-Based Deep Neural Network Technique to Detect Face Spoofing Attacks

Cybernetics and Information Technologies, 2022
Given the face spoofing attack, adequate protection of human identity through face has become a significant challenge globally. Face spoofing is an act of presenting a recaptured frame before the verification device to gain illegal access on behalf of a ...
Rusia Mayank Kumar, Singh Dushyant Kumar
doaj   +2 more sources

Multimodal feature enhancement via dynamically-aware heterogeneous network for face anti-spoofing [PDF]

Scientific Reports
Presentation attacks pose a significant threat to face recognition systems, making face anti-spoofing (FAS) a critical security measure. However, many existing approaches suffer from inadequate exploitation of physical modality cues and rely on overly ...
Yutao Yan, Liang Shi, Yijun Zhang, Xiaosong Chang   +3 more
doaj   +2 more sources

SHIELD: an evaluation benchmark for face spoofing and forgery detection with multimodal large language models

Visual Intelligence
Multimodal large language models (MLLMs) have demonstrated strong capabilities in vision-related tasks, capitalizing on their visual semantic comprehension and reasoning capabilities.
Yichen Shi, Yuhao Gao, Yingxin Lai, Hongyang Wang, Jun Feng, Lei He, Jun Wan, Changsheng Chen, Zitong Yu, Xiaochun Cao   +9 more
doaj   +2 more sources

Face Anti-spoofing Detection Based on Novel Encoder Convolutional Neural Network and Texture’s Grayscale Structural Information

International Journal of Computational Intelligence Systems
The rise in popularity of face anti-spoofing is attributed to its crucial role in safeguarding face recognition systems. Perpetrators use either a photo or a video to execute a face-spoofing attack on the authentication system of an authorized user ...
Marwa Radad, Amira E. Enab, Salah S. Elagooz, Nawal A. El-Fishawy, Mohamed A. El-Rashidy   +4 more
doaj   +2 more sources

Liveness Detection in Computer Vision: Transformer-Based Self-Supervised Learning for Face Anti-Spoofing [PDF]

IEEE Access
Face recognition systems are increasingly used in biometric security for convenience and effectiveness. However, they remain vulnerable to spoofing attacks, where attackers use photos, videos, or masks to impersonate legitimate users.
Arman Keresh, Pakizar Shamoi
doaj   +2 more sources

An enhanced light weight face liveness detection method using deep convolutional neural network [PDF]

MethodsX
Authentication plays a pivotal role in contemporary security frameworks, with various methods utilized including passwords, hardware tokens, and biometrics.
Swapnil R. Shinde, Anupkumar M. Bongale, Deepak Dharrao, Sudeep D. Thepade   +3 more
doaj   +2 more sources

A high-performance adaptive fusion network for face anti-spoofing detection [PDF]

Scientific Reports
In view of the limitations of current cross-domain face liveness detection models in generalization ability and deep feature representation, this paper proposes a high-performance adaptive fusion network for face anti-spoofing detection.
Hui Qi, Rui Han, Kaige Duan, Ying Shi, Xiaobo Qi, Chenghai Gao, Lifang Ren   +6 more
doaj   +2 more sources