Download PDFOpen PDF in browserCurrent version

Facial Expression Recognition Using Proposed Geometric Features

EasyChair Preprint no. 4864, version 1

Versions: 123history
4 pagesDate: January 5, 2021

Abstract

Facial expression recognition has significant benefit due to its possible applications in computer vision. In this paper, new geometric based features are proposed for the recognition of seven facial expressions. The number of features is reduced by using feature selection methods. Obtained features are applied to SVM classifier. In the experimental studies, the extended Cohn-Kanade (CK+) dataset is used. Satisfactory results are obtained for the features selected with sequential backward method

Keyphrases: facial expression recognition, feature selection, geometric based features, Support Vector Machine

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:4864,
  author = {Nuri Özbey and Mehmet Bilginer Gülmezoğlu},
  title = {Facial Expression Recognition Using Proposed Geometric Features},
  howpublished = {EasyChair Preprint no. 4864},

  year = {EasyChair, 2021}}
Download PDFOpen PDF in browserCurrent version