An overview of privacy-enhancing technologies in biometric recognition
Privacy-enhancing technologies are technologies that implement fundamental data
protection principles. With respect to biometric recognition, different types of privacy …
protection principles. With respect to biometric recognition, different types of privacy …
BAED: A secured biometric authentication system using ECG signal based on deep learning techniques
Biometric authentication technology has become increasingly common in our daily lives as
information protection and control regulation requirements have grown worldwide. A …
information protection and control regulation requirements have grown worldwide. A …
[HTML][HTML] Deep residual network for smartwatch-based user identification through complex hand movements
S Mekruksavanich, A Jitpattanakul - Sensors, 2022 - mdpi.com
Wearable technology has advanced significantly and is now used in various entertainment
and business contexts. Authentication methods could be trustworthy, transparent, and non …
and business contexts. Authentication methods could be trustworthy, transparent, and non …
IPM-Model: AI and metaheuristic-enabled face recognition using image partial matching for multimedia forensics investigation with genetic algorithm
The rapid enhancement in the development of information technology has driven the
development of human facial image recognition. Recently, facial recognition has been …
development of human facial image recognition. Recently, facial recognition has been …
[HTML][HTML] Efficient palmprint biometric identification systems using deep learning and feature selection methods
Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …
recognition. Recently, most methods in literature adopted deep learning due to their high …
Iris R-CNN: Accurate iris segmentation and localization in non-cooperative environment with visible illumination
X Feng, W Liu, J Li, Z Meng, Y Sun, C Feng - Pattern Recognition Letters, 2022 - Elsevier
Despite the significant advances in iris segmentation, accomplishing accurate iris
segmentation and localization in non-cooperative environment with visible illumination …
segmentation and localization in non-cooperative environment with visible illumination …
[HTML][HTML] Robust iris-localization algorithm in non-cooperative environments based on the improved YOLO v4 model
Q Xiong, X Zhang, X Wang, N Qiao, J Shen - Sensors, 2022 - mdpi.com
Iris localization in non-cooperative environments is challenging and essential for accurate
iris recognition. Motivated by the traditional iris-localization algorithm and the robustness of …
iris recognition. Motivated by the traditional iris-localization algorithm and the robustness of …
[PDF][PDF] Digital face manipulation in biometric systems
Biometric technologies, in particular face recognition, are employed in many personal,
commercial, and governmental identity management systems around the world. The …
commercial, and governmental identity management systems around the world. The …
[图书][B] Routledge handbook of humanitarian communication
L Chouliaraki, A Vestergaard - 2022 - api.taylorfrancis.com
26.4 Digitised text of an urgent action 441 26.5 User interface design for decode urgent
actions 442 26.6 Interactive visualisation from decode urgent actions 442 26.7 Wireframe …
actions 442 26.6 Interactive visualisation from decode urgent actions 442 26.7 Wireframe …
Quality assessment-based iris and face fusion recognition with dynamic weight
K Xiao, Y Tian, Y Lu, Y Lai, X Wang - The Visual Computer, 2022 - Springer
Image quality is one of the most crucial influence factors when conducting biometric image-
based human identification. However, it is not considered in most existing multi-biometric …
based human identification. However, it is not considered in most existing multi-biometric …