Human Facial Detection Using OpenCV

EasyChair Preprint 3566

Abstract

Face detection and recognition from a picture or a video may be a popular topic in biometrics research. Face recognition technology has widely attracted attention thanks to its enormous application value and market potential, like real-time video closed-circuit television . it's widely acknowledged that the face recognition has played a crucial role in closed-circuit television because it doesn’t need the object’s co-operation. We design a real-time face recognition system supported IP camera and image set algorithm by way of OpenCV and Python programming development. The system includes three parts: Detection module, training module and recognition module. Face recognition has been one among the foremost interesting and important research fields within the past 20 years . the explanations come from the necessity of automatic recognitions and surveillance systems, the interest in human sensory system on face recognition, and therefore the design of human-computer interfac

Keyphrases: Open CV, face detection, machine learning

@booklet{EasyChair:3566,
  author    = {Vijaybhaskar Reddy Agavinti and V. Amudha},
  title     = {Human Facial Detection Using OpenCV},
  howpublished = {EasyChair Preprint 3566},
  year      = {EasyChair, 2020}}