Face Recognition

EasyChair Preprint 3567

Abstract

Face recognition from image or video may be a standard topic in biometrics analysis. Several public places typically have surveillance cameras for video capture and these cameras have their vital price for security purpose. it's wide acknowledged that the face recognition have vie a very important role in closed-circuit television because it doesn’t would like the object’s cooperation. the particular benefits of face based mostly identification over different biometry area unit individuality and acceptance. As human face may be a dynamic object having high degree of variability in its appearance, that produces face detection a tough downside in computer vision. during this field, accuracy and speed of identification may be a main issue. The goal of this paper is to judge varied face detection and recognition strategies, offer complete resolution for image based mostly face detection and recognition with higher accuracy, better response rate as associate initial step for video police work. resolution is proposed supported performed tests on varied face wealthy databases in terms of subjects, pose, emotions, race and light-weight

Face recognition technology is the least intrusive and fastest biometric technology. It works with the most obvious individual identifier – the human face. Instead of requiring people to place their hand on a reader (a process not acceptable in some cultures as well as being a source of illness transfer) or precisely position their eye in front of a scanner, face recognition systems unobtrusively take pictures of people's faces as they enter a defined area.

Every face has numerous, distinguishable landmarks, the different peaks and valleys that make up facial features. Each human face has approximately 80 nodal points. Some of these measured by the Facial Recognition Technology

Keyphrases: Biometrics, Face Identification., face recognition

@booklet{EasyChair:3567,
  author    = {Aishwarya Mathur and U. Samson Ebenezar},
  title     = {Face Recognition},
  howpublished = {EasyChair Preprint 3567},
  year      = {EasyChair, 2020}}