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 …

Patient and sample misidentification may cause significant harm or discomfort to the
patients, especially when incorrect data is used for performing specific healthcare activities …

Applied machine learning research has the potential to fuel further advances in data
science, but it is greatly hindered by an ad hoc design process, poor data hygiene, and a …

The skin surface is composed of a network-like microstructure comprising wrinkles.
Observing and analyzing the microstructure of the skin that changes with the skin condition …

Besides genetic characteristics, people also undergo a process of skin aging under the
influence of diverse factors such as sun exposure, food intake, sleeping patterns, and …

Soft biometric attributes such as gender, ethnicity or age may provide useful information for
biometrics and forensics applications. Researchers used, eg, face, gait, iris, and hand, etc. to …

Skin texture without obvious features is different from other hard biometrics on the skin, such
as fingerprints and palmprints. Skin texture gives an impression that it is not distinctive like …

Skin appearance is almost universally the object of gender-related expectations and
stereotypes. This not with standing, remarkably little work has been done on establishing …

Here, we propose a three-stream structure for hand gender recognition. The proposed
method employs convolutional neural networks for feature extraction and classification parts …

Biometric applications have been used globally in everyday life. However, conventional
biometrics is created and optimized for high-security scenarios. Being used in daily life by …