By Topic

The Method of Human Facial Expression Recognition Based on Wavelet Transformation Reducing the Dimension and Improved Fisher Discrimination

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chuang Yu ; Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China ; Yuning Hua ; Kun Zhao

The segmentation of skin color region is carried on through the mathematics morphology processing, using Hough transform to locate the eyes, and then the expression image is proceeded by geometry standardization. After using wavelet transform to reduce the dimension of images, the feature extraction of facial expression can be realized with the discrimination of improved Fishier. It can solve actual problems on dispersion matrix singular within the class. Finally, the method of minimum Mahalanobis distance classifier is carried on facial expression recognition. It is proved in the CMU facial expression database that the method can reduce computation and enhance the recognition rate of facial expression recognition.

Published in:

Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on

Date of Conference:

1-3 Nov. 2010