Deep learning based fingerprint presentation attack detection: A comprehensive Survey
H Li, R Ramachandra - arXiv preprint arXiv:2305.17522, 2023 - arxiv.org
The vulnerabilities of fingerprint authentication systems have raised security concerns when
adapting them to highly secure access-control applications. Therefore, Fingerprint …
adapting them to highly secure access-control applications. Therefore, Fingerprint …
An encoded histogram of ridge bifurcations and contours for fingerprint presentation attack detection
In recent years, the exponential growth of internet technologies has made personal
authentication an integral part of security applications. The fingerprint-based biometric …
authentication an integral part of security applications. The fingerprint-based biometric …
A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection
RC Contreras, LG Nonato, M Boaventura… - IEEE …, 2022 - ieeexplore.ieee.org
The use of user recognition and authentication systems has become very common and is
part of everyday routines for many people, guaranteeing access to the automatic teller …
part of everyday routines for many people, guaranteeing access to the automatic teller …
Enhancing Fingerprint Authentication: A Systematic Review of Liveness Detection Methods Against Presentation Attacks
DS Ametefe, SS Sarnin, DM Ali… - Journal of The Institution …, 2024 - Springer
The robustness of automatic fingerprint identification systems (AFIS) against presentation
attacks, a pressing concern in biometric security, is critically dependent on the efficacy of …
attacks, a pressing concern in biometric security, is critically dependent on the efficacy of …
[HTML][HTML] Enhancing leaf disease detection accuracy through synergistic integration of deep transfer learning and multimodal techniques
The agricultural sector, a cornerstone of economies worldwide, faces significant challenges
due to plant diseases, which severely affect crop yield and quality. Early and accurate …
due to plant diseases, which severely affect crop yield and quality. Early and accurate …
On Self-Supervised Learning and Prompt Tuning of Vision Transformers for Cross-sensor Fingerprint Presentation Attack Detection
M Nadeem, K Nandakumar - 2023 IEEE International Joint …, 2023 - ieeexplore.ieee.org
Presentation attacks pose a serious threat to the integrity of fingerprint-based biometric
systems. Existing methods for fingerprint presentation attack detection (FpPAD) suffer from a …
systems. Existing methods for fingerprint presentation attack detection (FpPAD) suffer from a …
A minutiae-based method to store and compare fingerprints
EA Alhamad, MSA Logmani… - International …, 2024 - inderscienceonline.com
Biometrics refers to certain physical or behavioural characteristics that are unique to every
person. Biometrics, including fingerprints, are used for the measurement and analysis of …
person. Biometrics, including fingerprints, are used for the measurement and analysis of …
An Interpretable Siamese Attention Res‐CNN for Fingerprint Spoofing Detection
C Yuan, Z Xu, X Li, Z Zhou, J Huang, P Guo - IET Biometrics, 2024 - Wiley Online Library
In recent years, fingerprint authentication has gained widespread adoption in diverse
identification systems, including smartphones, wearable devices, and attendance machines …
identification systems, including smartphones, wearable devices, and attendance machines …
Fingerprint multiple-class classifier: performance evaluation on known and unknown fingerprint spoofing materials
DS Ametefe, SS Sarnin, DM Ali… - … Journal of Biometrics, 2024 - inderscienceonline.com
Fingerprint recognition is a popular and reliable biometric technology used in many security-
sensitive applications. However, the use of fake fingerprints made from ubiquitous spoofing …
sensitive applications. However, the use of fake fingerprints made from ubiquitous spoofing …
Enhanced fingerprint pattern classification: Integrating attention modules with lightweight deep learning models
Large fingerprint databases can make the automated search process tedious and time‐
consuming. Fingerprint pattern classification is a significant step in the identification system's …
consuming. Fingerprint pattern classification is a significant step in the identification system's …