Face Recognition System Using Computational Algorithms

A face recognition program can be an innovation that can recognize or check an individual from an advanced photograph or video outline from a video source. It is used to find the world safer and more user-oriented. Finding missing persons, retail crime, security identification, identifying accounts on social media systems, or recognition of the drivers of cars are just a few examples. Face recognition is categorized into three steps: face detection, face extraction and face identification. In this work, we create a face recognition application platform using Open-Computer- Vision (OpenCV), with a focus on the system's performance and accuracy. Haar-Cascade was used for the Face Detection, Eigenfaces, Fisherfaces and Local binary pattern histograms were being used for Face or Facial Recognition. After the testing is completed, System is proved to have a friendly interface and it can detect and identify faces in real-time and accurately.