Face expression recognition technology is one of the most recently developed fields in
machine learning and has profoundly helped its users through forensic, security, and …

Although in recent years we have witnessed an explosion of the scientific research in the
recognition of facial soft biometrics such as gender, age and expression with deep neural …

Soft biometrics, although not discriminant enough for person recognition provides additional
information that aids traditional person recognition. Initially, attempts were made to integrate …

Due to the problems of occlusion, pose change, illumination change, and image blur in the
wild facial expression dataset, it is a challenging computer vision problem to recognize facial …

Robust authentication for low-power consumer devices without a keyboard remains a
challenge. The recent availability of low-power neural accelerator hardware, combined with …

Feature selection metho represents one of the main keys that has direct influence on
classification accuracy. During the last two decades, researchers have given a lot of …

Facial expression recognition (FER) has achieved an extreme role in research area since
the 1990s. This paper provides a comparison approach for FER based on three feature …

Caricatures refer to a representation of a person, in which the distinctive features are
deliberately exaggerated, with several studies showing that humans perform better at …

The scarcity of labelled data is a serious problem since deep models generally require a
large amount of training data to achieve desired performance. Data augmentation is widely …

This study investigates the efficacy of facial micro-expressions as a soft biometric for
enhancing person recognition, aiming to broaden the understanding of the subject and its …