Facial aging adversely impacts performance of face recognition and face verification and
authentication using facial features. This stochastic personalized inevitable process poses …

Fairness-aware learning is increasingly important in data mining. Discrimination prevention
aims to prevent discrimination in the training data before it is used to conduct predictive …

Information fusion is a key step in multimodal biometric systems. The fusion of information
can occur at different levels of a recognition system, ie, at the feature level, matching-score …

Railroad tracks need to be periodically inspected and monitored to ensure safe
transportation. Automated track inspection using computer vision and pattern recognition …

In biometric identification systems, the biometric database is typically stored in a trusted
server, which is also responsible for performing the identification process. However, a …

Single sample face recognition have become an important problem because of the
limitations on the availability of gallery images. In many real-world applications such as …

Point clouds generated from airborne oblique images have become a suitable source for
detailed building damage assessment after a disaster event, since they provide the essential …

Convolutional Neural Networks (CNN) are being increasingly used in computer vision for a
wide range of classification and recognition problems. However, training these large …

Over the decades, Artificial Intelligence (AI) and machine learning has become a
transformative solution in many sectors, services, and technology platforms in a wide range …

In this study, Gabor wavelet transform on the strength of deep learning which is a new
approach for the symmetry face database is presented. A proposed face recognition system …