The Open Electrical & Electronic Engineering Journal

2014, 8 : 599-604
Published online 2014 December 31. DOI: 10.2174/1874129001408010599
Publisher ID: TOEEJ-8-599

A Facial Expression Recognition Algorithm Based on Local Binary Pattern and Empirical Mode Decomposition

Hong Yang and Deli Zhu
Institute of Information Science and Technology, Northwestern University, Shanxi 710127, China.

ABSTRACT

To improve the efficiency of facial expression recognition, this paper puts forward a kind of recognition algorithm based on local binary pattern (LBP) and empirical mode decomposition (EMD). First of all, process the empirical mode decomposition into the preprocessing facial image, and bring forward many a high frequency images instead of the original image; then, divide the sub domain of the high frequency image and obtain the sub domain LBP histogram and full face histogram; finally, identify the expression of the generated LBP histogram. Through the experiment on JAFFE database, it shows that the method is effective for facial expression recognition.

Keywords:

Facial expression recognition , EMD, LBP.