Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

Conventional neural networks are software simulations of artificial neural networks (ANNs)
implemented on von Neumann machines. This technology has recently encountered …

This paper presents an algorithm to improve images with hazing effects. Usually, the
dehazing methods based on the dark channel prior make use of two different stages to …

This paper proposes a novel method called local-gravity-face (LG-face) for illumination-
invariant and heterogeneous face recognition (HFR). LG-face employs a concept called the …

Biometric based verification and recognition has become the center of attention for many
significant applications for security conscious societies, as it is believed that biometrics can …

Face recognition is one of the most important biometrics pattern recognitions, which has
been widely applied in a variety of enterprise, civilian and law enforcement. The privacy of …

The goal of this” proyecto fin de carrera” was to produce a review of the face detection and
face recognition literature as comprehensive as possible. Face detection was included as a …

Face detection which is the task of localizing faces in an input image is a fundamental part of
any face processing system. The aim of this paper is to present a review on various methods …

The neurocomputing is endowed with an opportunity to realize the innate enigma of artificial
intelligence in physical world. The researchers of modern computing science have sought to …

Here, a highly precise human identification system is developed using a newly proposed
biometric trait—palm–phalanges print (PPP). For PPP, NSIT database has been used which …