11K Hands: Gender recognition and biometric identification using a large dataset of hand images
M Afifi - Multimedia Tools and Applications, 2019 - Springer
Human hand not only possesses distinctive feature for gender information, it is also
considered one of the primary biometric traits used to identify a person. Unlike face images …
considered one of the primary biometric traits used to identify a person. Unlike face images …
Hand gesture recognition with convolution neural networks
F Zhan - 2019 IEEE 20th international conference on …, 2019 - ieeexplore.ieee.org
Hand gestures are the most common forms of communication and have great importance in
our world. They can help in building safe and comfortable user interfaces for a multitude of …
our world. They can help in building safe and comfortable user interfaces for a multitude of …
Tiny hand gesture recognition without localization via a deep convolutional network
P Bao, AI Maqueda, CR del-Blanco… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Visual hand-gesture recognition is being increasingly desired for human-computer
interaction interfaces. In many applications, hands only occupy about 10% of the image …
interaction interfaces. In many applications, hands only occupy about 10% of the image …
Gender and handedness prediction from offline handwriting using convolutional neural networks
Demographic handwriting‐based classification problems, such as gender and handedness
categorizations, present interesting applications in disciplines like Forensic Biometrics. This …
categorizations, present interesting applications in disciplines like Forensic Biometrics. This …
Hand gesture recognition based on a Harris hawks optimized convolution neural network
Hand gestures are an effective method of communication, especially when we are
communicating with people who cannot understand our spoken language. Furthermore, it is …
communicating with people who cannot understand our spoken language. Furthermore, it is …
Gender classification from hand shape
G Amayeh, G Bebis, M Nicolescu - 2008 IEEE Computer …, 2008 - ieeexplore.ieee.org
Many social interactions and services today depend on gender. In this paper, we investigate
the problem of gender classification from hand shape. Our work has been motivated by …
the problem of gender classification from hand shape. Our work has been motivated by …
A deep learning-based end-to-end composite system for hand detection and gesture recognition
Recent research on hand detection and gesture recognition has attracted increasing interest
due to its broad range of potential applications, such as human-computer interaction, sign …
due to its broad range of potential applications, such as human-computer interaction, sign …
Robust biometric recognition from palm depth images for gloved hands
Biometric recognition can be used to improve gesture-based interfaces by automatically
identifying operators. Traditional palm biometric recognition techniques depend on palm …
identifying operators. Traditional palm biometric recognition techniques depend on palm …
Adam or Eve? Automatic users' gender classification via gestures analysis on touch devices
Gender classification of mobile devices' users has drawn a great deal of attention for its
applications in healthcare, smart spaces, biometric-based access control systems and …
applications in healthcare, smart spaces, biometric-based access control systems and …
A hand-based multi-biometrics via deep hashing network and biometric graph matching
At present, the fusion of different unimodal biometrics has attracted increasing attention from
researchers, who are dedicated to the practical application of biometrics. In this paper, we …
researchers, who are dedicated to the practical application of biometrics. In this paper, we …