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

Emerging Trends in Chemical Engineering

Overview of Face Detection and Expression Recognition by LBPH

  1. Priyanka K. P.
  2. Divyaprabha .
  3. M. Z. Kurian

Abstract

This paper gives an overview of facial expression recognition and face detection by LBPH technique, in this work facial expression will identify basic human expressions such as happy, disgust, anger, neutral, sadand surprise. To specify the visual pattern and its various aspects, we employ vector for face identification a local binary pattern histogram (LBPH) and a Haar-cascade classifier are utilized. This paper will explain about face detection and expression recognition with recognition rate and it will calculate the time taken process for training the respective image. Currently, facial expression places a vital role in identifying the human expressions, this will help us to increase the demand for better experience and satisfaction of a customers.
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