By Topic

Facial Affection Recognition Algorithm Based on Gabor Wavelet Transformation and Fractal Dimension

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
$33 $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

2 Author(s)
Jixiang Ye ; Sch. of Inf. Eng., Central South Univ., Changsha ; Guanzheng Tan

Facial affection recognition performance can be improved by the combination of Gabor wavelet transformation and fractal dimension and the classification by BP neural net. Preprocessing to grey images as grid division are firstly completed. Feature parameters which indicate the property of facial affection are achieved through the transformation by Gabor wavelet and the computation of box-counting dimension and differential fractal dimension. When applied in recognizing four, six and seven types of facial affection of the same person, the algorithm can reach the recognition performance of 87%, 78%and 77% respectively. The performance of the algorithm is improved with the increasing of the type of affection.

Published in:

Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for

Date of Conference:

18-21 Nov. 2008