This work explores facial expression bias as a security vulnerability of face recognition
systems. Despite the great performance achieved by state-of-the-art face recognition …

Face recognition is one of the most studied research topics in the community. In recent
years, the research on face recognition has shifted to using 3D facial surfaces, as more …

The aim of Neuroevolution is to find neural networks and convolutional neural network
(CNN) architectures automatically through evolutionary algorithms. A crucial problem in …

A 4D surface shape measurement system that combines spectral detection and 3D surface
morphology measurements is proposed, which can realize high spectral resolution and …

Automation security is one of the main concerns of modern times. A safe and reliable identity
verification system is in great demand. A biometric verification system can represent a …

Biometrics is an important research area with large impact on practical applications such as
immigration inspections, access control and online transactions. Compared with behavioural …

Cross-age face recognition is one of the most difficult problems in face recognition at
present. Face features will change with age, resulting in a decrease in recognition accuracy …

The use of anatomical multiatlas methods has proven to be one of the most competitive
techniques for brain images segmentation. The majority of these methods are based on …

Unimodal biometric recognition systems have been widely used in various fields. The use of
a single modality makes the developed system suffering from many challenges …

The pattern detection device for biometric identification, which is discussed in the following
paper, made use of mathematical modelling and descriptive statistics together with …