One of the main modules in a face recognition system is feature extraction, which has a
significant effect on the whole system performance. In the past decades, various types of …

Biometrics, unique measurable physiological and behavioral characteristics, are used to
identify individuals in a variety of scenarios, including forensic investigations. However, data …

Multimodal biometric authentication requires fusion of information extracted from different
biometric modalities. Face recognition is the most common and versatile biometric …

The paper presents a new solution for the face recognition based on two-dimensional
hidden Markov models. The traditional HMM uses one-dimensional data vectors, which is a …

Abstract Face Super Resolution (FSR) is to infer high resolution (HR) face images from
given low resolution (LR) face images with the help of HR/LR training examples. The most …

In recent years, fingerprinting technology has developed at a rapid pace. Fingerprinting is
still the most prevalent method of verifying an individual's identity because every person, has …

Human face images are the basis not only for person recognition, but for also identifying
other attributes like gender, age, ethnicity, and emotional states of a person. Therefore, face …

In this paper, we present an efficient method for 3D face recognition based on vector
quantization of both geometrical and visual proprieties of the face. The method starts by …

The fusion of images from the visible and long-wave infrared (thermal) portions of the
spectrum produces images that have improved face recognition performance under varying …

L'étude menant à l'élaboration de ce projet de maîtrise se base sur les besoins en industrie,
et des organisations œuvrant dans le domaine de la sécurité, de systèmes technologiques …