Results 41 to 50 of about 794,481 (215)
Clustering Facial Attributes: Narrowing the Path From Soft to Hard Biometrics
IEEE Access, 2020 Despite the success obtained in face detection and recognition over the last ten years of research, the analysis of facial attributes still represents a trend topic.
Andrea F. Abate +5 more
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Deep Learning Pet Identification Using Face and Body
Information, 2023 According to the American Humane Association, millions of cats and dogs are lost yearly. Only a few thousand of them are found and returned home. In this work, we use deep learning to help expedite the procedure of finding lost cats and dogs, for which a
Elham Azizi, Loutfouz Zaman
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Soft-biometrics: Soft-computing technologies for biometric-applications
, 2022 S.171-177Biometrics, the computer-based validation of people's identities, is becoming more and more essential due to the increasing demand for high- security systems.
Franke, K., Ruiz del Solar, J.
core +1 more source
Sensors, 2015 A number of previous works have shown that information about a subject is encoded in sparse kinematic information, such as the one revealed by so-called point light walkers.
Qaiser Riaz +3 more
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Applied Sciences, 2023 Ethnic conflicts frequently lead to violations of human rights, such as genocide and crimes against humanity, as well as economic collapse, governmental failure, environmental problems, and massive influxes of refugees.
Abdulwahid Al Abdulwahid
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Using comparative human descriptions for soft biometrics [PDF]
2011 International Joint Conference on Biometrics (IJCB), 2011 Soft biometrics is a new form of biometric identification which utilizes labeled physical or behavioral traits. Although these traits intuitively have less discriminatory capability than mensurate approaches, they offer several advantages over traditional biometric techniques.
Daniel A. Reid, Mark S. Nixon
openaire +3 more sources
Big Data & Society, 2021 Biometric identity systems are now a prominent feature of contemporary law enforcement, including in Europe. Often advanced on the premise of efficiency and accuracy, they have also been the subject of significant controversy. Much attention has focussed
Fieke Jansen +2 more
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EPYNET: Efficient Pyramidal Network for Clothing Segmentation
IEEE Access, 2020 Soft biometrics traits extracted from a human body, including the type of clothes, hair color, and accessories, are useful information used for people tracking and identification. Semantic segmentation of these traits from images is still a challenge for
Andrei De Souza Inacio +1 more
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Forearm multimodal recognition based on IAHP‐entropy weight combination
IET Biometrics, 2023 Biometrics are the among most popular authentication methods due to their advantages over traditional methods, such as higher security, better accuracy and more convenience.
Chaoying Tang +4 more
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On the shape of timings distributions in free-text keystroke dynamics profiles
Heliyon, 2021 Keystroke dynamics is a soft biometric trait. Although the shape of the timing distributions in keystroke dynamics profiles is a central element for the accurate modeling of the behavioral patterns of the user, a simplified approach has been to ...
Nahuel González +3 more
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