Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Low-resolution face recognition (LR FR) aims to recognize faces from small size or poor
quality images with varying pose, illumination, expression, etc. It has received much …

This paper presents a new approach to improve the performance of finger-vein identification
systems presented in the literature. The proposed system simultaneously acquires the finger …

Face recognition with still face images has been widely studied, while the research on video-
based face recognition is inadequate relatively, especially in terms of benchmark datasets …

Face recognition degrades when faces are of very low resolution since many details about
the difference between one person and another can only be captured in images of sufficient …

Employing COTS components in real-time embedded systems leads to timing challenges.
When multiple CPU cores and DMA peripherals run simultaneously, contention for access to …

Practical face recognition systems are sometimes confronted with low-resolution face
images. Traditional two-step methods solve this problem through employing super …

The standard approach to multi-modal registration is to apply sophisticated similarity metrics
such as mutual information. The disadvantage of these metrics, in comparison to measuring …

Driven by key law enforcement and commercial applications, research on face recognition
from video sources has intensified in recent years. The ensuing results have demonstrated …

Low-resolution (LR) of face images significantly decreases the performance of face
recognition. To address this problem, we present a super-resolution method that uses …