Results 11 to 20 of about 10,010 (275)
Real-Time PPG-Based Biometric Identification: Advancing Security with 2D Gram Matrices and Deep Learning Models [PDF]
SensorsThe integration of liveness detection into biometric systems is crucial for countering spoofing attacks and enhancing security. This study investigates the efficacy of photoplethysmography (PPG) signals, which offer distinct advantages over traditional ...
Ali Cherry +4 more
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Big Data and Cognitive Computing, 2023 Biometrics has been evolving as an exciting yet challenging area in the last decade. Though face recognition is one of the most promising biometrics techniques, it is vulnerable to spoofing threats.
Smita Khairnar +3 more
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Intelligent Systems with Applications, 2022 Advancement in deep learning is mapping to every field of life and applying it to almost all research problems. Numerous Deep Convolutional Neural Network (DCNN) architectures are being proposed, giving different results based on the depth and value of ...
Sudeep D. Thepade +3 more
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Biometric Authentication based on Liveness Detection Using Face Landmarks and Deep Learning Model
JOIV: International Journal on Informatics Visualization, 2023 This paper describes the approach to active liveness detection of the face using facial features and movements. The project aims to create a better method for detecting liveness in real-time on an application programming interface (API) server.
Ooi Zhi Jie, Lim Tong Ming, Tan Chi Wee
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Multi-supervision Face Liveness Detection Algorithm Fused with Multi-scale Feature [PDF]
Jisuanji gongcheng, 2022 To address the problem that most face liveness detection algorithms ignore feature mining and cannot extract enough discriminative information, this paper proposes a novel algorithm that combines gradient texture and group receptive fields.
CHEN Suyang, SONG Xiaoning
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Biostack: Nontoxic Metabolite Detection from Live Tissue [PDF]
Advanced Science, 2021 AbstractThere is increasing demand for direct in situ metabolite monitoring from cell cultures and in vivo using implantable devices. Electrochemical biosensors are commonly preferred due to their low‐cost, high sensitivity, and low complexity. Metabolite detection, however, in cultured cells or sensitive tissue is rarely shown.
Strakosas, Xenofon +8 more
openaire +7 more sources
Slim-ResCNN: A Deep Residual Convolutional Neural Network for Fingerprint Liveness Detection
IEEE Access, 2019 Fingerprint liveness detection has gradually been regarded as a primary countermeasure for protecting the fingerprint recognition systems from spoof presentation attacks.
Yongliang Zhang +5 more
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IRIS DETECTION FOR BIOMETRIC PATTERN IDENTIFICATION USING DEEP LEARNING
ICTACT Journal on Image and Video Processing, 2021 In this paper, we develop a liveness detection of iris present in the study to reduce various spoofing attacks using gray-level co-occurrence matrix (GLCM) and Deep Learning (DL).
M Ramkumar +3 more
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Fingerprint Liveness Detection by a Template-Probe Convolutional Neural Network
IEEE Access, 2019 Fingerprints are known to be easily synthesized to trick identification systems. In this paper, we propose a new method that incorporates template fingerprints stored for identification in the liveness detection system.
Ho Yub Jung, Yong Seok Heo, Soochahn Lee
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IET Biometrics, 2023 The widespread use of fingerprint authentication systems (FASs) in consumer electronics opens for the development of advanced presentation attacks, that is, procedures designed to bypass a FAS using a forged fingerprint.
Antonio Galli +4 more
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