Using moment invariants and HMM in facial expression recognition

Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0167-8655(01)00108-8

Title:	Using moment invariants and HMM in facial expression recognition
Authors:	Zhu, Y. De Silva, L.C. Ko, C.C.
Keywords:	Facial expression HMM Moment invariant Pattern recognition Recognition
Issue Date:	Jan-2002
Citation:	Zhu, Y., De Silva, L.C., Ko, C.C. (2002-01). Using moment invariants and HMM in facial expression recognition. Pattern Recognition Letters 23 (1-3) : 83-91. ScholarBank@NUS Repository. https://doi.org/10.1016/S0167-8655(01)00108-8
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 features and HMM as recognition method in facial expression recognition. Sequences of four universal expressions, i.e. anger, disgust, happiness and surprise, are recognized. We were able to attain an accuracy as high as 96.77%. © 2002 Elsevier Science B.V. All rights reserved.
Source Title:	Pattern Recognition Letters
URI:	http://scholarbank.nus.edu.sg/handle/10635/57761
ISSN:	01678655
DOI:	10.1016/S0167-8655(01)00108-8
Appears in Collections:	Staff Publications

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