Using Moment Invariants and HMM in Facial Expression Recognition

Authors:
Y Zhu;L C de Silva;C C. Ko
Affiliations:
-;-;-
Venue:
SSIAI '00 Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation
Year:
2000

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Fast computation of geometric moments using a symmetric kernel

Pattern Recognition

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Abstract

Moment invariants are invariant under shifting, scaling and rotation. They are widely used in pattern recognition because of their discrimination power and robustness. HMM method is a natural and highly reliable way of recognition. In this paper, we have proposed a method of using moment invariants as feature and HMM as recognition method in facial expression recognition. Sequences of four universal expressions, i.e. anger, disgust, happiness and surprise, are recognized. We attain accuracy as high as 93.75%.