Facial Expression Recognition Using Feature Extraction And Classification Technique

Abstract

The system-based identification of facial expressions has been a vital area of research in the literature for a long time. The most meaningful way humans exhibit emotions is byfacial expressions. The presented work confers a new framework for facial expressions recognition from video files by selectingthe Gabor features on video frames. A set of dimensionality reduction technique, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) is used to minimize the computational complexity. These feature vectors are compared with the trained vectors of different facial expressions in the database and finally, a Support Vector Machine is used to classify different kinds of facial expressions belonging to the face video frames. This method reveals a better performance ratio.

Authors and Affiliations

J. Lethisia Nithiya

Keywords

Related Articles

Establishing databases based on computer experiments on key characteristics of continuous gas lift wells

Program becomes matured via Design method. Utilized concepts of this stage are BDE, Data Access and Data controls Data Access plays a prominent role through all this process, moreover, it consists Data Source as well as...

An Evaluation of Impact of Buildability Assessment on Real Estate Investment

There are different ways by which buildability assessment can affect real estate investment. Real estate investment includes residential, commercial, industrial, recreational properties and buildability is the term used...

Improving Information Retrieval On The Web Using Clustering Approaches

As large amounts of digital information become more and more accessible. The ability to effectively find relevant information is increasingly important. Search engines have historically performed well at finding relevant...

A Literature Review on Parameters Influencing Abrasive Jet Machining and Abrasive Water Jet Machining

Abrasive Jet Machining (AJM) especially Abrasive Water Jet Machining (AWJM) is widely used in the manufacturing sector. Every organization tries to sustain in the competitive business market by reducing the cost of the p...

Download PDF file
  • EP ID EP393721
  • DOI 10.9790/9622-0802023745.
  • Views 161
  • Downloads 0

How To Cite

J. Lethisia Nithiya (2018). Facial Expression Recognition Using Feature Extraction And Classification Technique. International Journal of engineering Research and Applications, 8(2), 37-45. https://europub.co.uk/articles/-A-393721