STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

Utilizing Machine Learning to Recognize Faces: A Review

  1. Geeta Tiwari
  2. Shubham Prajapati
  3. Vishal Agrawal
  4. Sohaib Nasir
  5. Rahul Arora

Abstract

These days, one of the top computer vision technologies is facial recognition. The task of face recognition in computer vision, illumination position, and facial expression is always quite challenging. Target objects are tracked using face recognition in real-time video images captured with a video camera. To put it simply, it is a system program used to recognize a person automatically from a still image or video frame. In this article, we used different algorithms for face recognition, like the Viola-Jones algorithm, PCA algorithm, KLT algorithm, and EmguCV. There are various techniques through which we can perform the above techniques. The present work here depicts the details of various technologies which have been researched and discovered. Let us take an example of designing colour filters that we use in cameras to make them more colorimetric.

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