Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …

Support vector machine (SVM) is one of the most studied paradigms in the realm of machine
learning for classification and regression problems. It relies on vectorized input data …

Over the period of time, automated classification of gender has gained enormous
significance and has become an active area of research. Many researchers have put a lot of …

In many classification problems such as electroencephalogram (EEG) classification and
image classification, the input features are naturally represented as matrices rather than …

An approach using a convolutional neural network (CNN) is proposed for real-time gender
classification based on facial images. The proposed CNN architecture exhibits a much …

Gender is an important demographic attribute of people. This paper provides a survey of
human gender recognition in computer vision. A review of approaches exploiting information …

Human gender detection which is a part of facial recognition has received extensive
attention because of it's different kind of application. Previous research works on gender …

Face biometric has received more attention to recognize a person in a right way. However,
the face recognition is considered to be hard due to size, ethnicity, illumination, pose …

Automated gender estimation has numerous applications, including video surveillance,
human-computer interaction, anonymous customized advertisement, and image retrieval …

These days biometric authentication systems based on human characteristics such as face,
finger, voice and iris are becoming popular among researchers. These systems identify an …