Title :
Facial expression recognition using Local Zernike Moments
Author :
Akkoca, B.S. ; Gokmen, Muhittin
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Istanbul Teknik Univ., Istanbul, Turkey
Abstract :
This study shows that Local Zernike Moments which is a novel study and works in face recognition efficiently can be used for facial expression recognition. Local Zernike Moments (LZM) method based on the calculation of moments at every pixel of the image unlike traditional Zernike Moments produces one moment value over whole image. Promising results are obtained by classifying the feature vectors with KNN (K Nearest Neighbor), belongs to the facial images.
Keywords :
face recognition; feature extraction; image classification; KNN; LZM method; facial expression recognition; feature vector classification; k nearest neighbor; local Zernike moments; Art; Conferences; Face recognition; Image recognition; Robustness; Facial Expression Recognition; Local Zernike Moments;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531264
