3D Research

, 10:14 | Cite as

Automatic Facial Expression Recognition Using Combined Geometric Features

  • Garima SharmaEmail author
  • Latika Singh
  • Sumanlata Gautam
3DR Express


This study presents a geometric feature based automatic facial expression recognition system. The proposed system utilises the facial landmark points to determine the relative distances between the facial features in order to capture deformities caused by the movement of facial muscles due to different expressions. Three feature sets are generated by using landmark coordinates, relative distances between the facial points and a combination of both. Discriminating power of each feature set is determined by training different classification models for classifying an image into six basic emotions or neutral state. The proposed system is validated on two publically available facial expression databases. Experimental results show good accuracy of 95.5% for MUG database on the combined features by using ensemble neural network.


Facial expression recognition Feature extraction Facial landmarks Multi-class classification 



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Copyright information

© 3D Display Research Center, Kwangwoon University and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.The NorthCap UniversityGurgaonIndia
  2. 2.Ansal UniversityGurgaonIndia

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