Data-driven prognostic techniques have been widely implemented to accurately predicting
the remaining useful life (RUL) of high-speed bearings. Accurate RUL estimation attributes …

The concept of multimodal biometrics is gaining importance to realise reliable, accurate and
robust authentication systems. In multimodal biometrics, information fusion can be done at …

This paper proposes a Gabor wavelets and support vector machine (SVM)-based framework
for object recognition. When discriminative features are extracted at optimized locations …

Recently, face recognition applications achieved promising results by using Convolutional
Neural Network (CNN). CNN has the capability to extract features automatically from images …

We address the problem of pose-invariant face recognition based on a single model image.
To cope with novel view face images, a model of the effect of pose changes on face …

A model for view-independent face recognition, based on Mixture of Experts, ME, is
presented. Instead of allowing ME to partition the face space automatically, it is directed to …

The purpose of this comparative study is to determine the effectiveness of various computer
vision techniques for image analysis tasks. This research aims to investigate different …

Biometric systems are emerging trends in the world of technological revolution for accessing
confidential information of an individual. Multibiometric systems are more preferable …

The primary application of biometric technology is to analyze human characteristics for
security purpose as security issues have been the focused interest in recent years. A survey …

A model for view-independent face recognition, based on Mixture of Experts, ME, is
presented. In the basic form of ME the problem space is automatically divided into several …