NDLI: Wavelets-based facial expression recognition using a bank of support vector machines

Content Provider	Springer Nature Link
Author	Kazmi, Sidra Batool Arfan Jaffar, M.
Copyright Year	2011
Abstract	A human face does not play its role in the identification of an individual but also communicates useful information about a person’s emotional state at a particular time. No wonder automatic face expression recognition has become an area of great interest within the computer science, psychology, medicine, and human–computer interaction research communities. Various feature extraction techniques based on statistical to geometrical data have been used for recognition of expressions from static images as well as real-time videos. In this paper, we present a method for automatic recognition of facial expressions from face images by providing discrete wavelet transform features to a bank of seven parallel support vector machines (SVMs). Each SVM is trained to recognize a particular facial expression, so that it is most sensitive to that expression. Multi-classification is achieved by combining multiple SVMs performing binary classification using one-against-all approach. The outputs of all SVMs are combined using a maximum function. The classification efficiency is tested on static images from the publicly available Japanese Female Facial Expression database. The experiments using the proposed method demonstrate promising results.
Starting Page	369
Ending Page	379
Page Count	11
File Format	PDF
ISSN	14327643
Journal	Soft Computing
Volume Number	16
Issue Number	3
e-ISSN	14337479
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-05-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Facial expressions Discrete wavelet transform Multiple classifier systems Support vector machines Classifier combination Machine learning Mathematical Logic and Foundations Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Software Geometry and Topology

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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