Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

14

ICPR
2008
IEEE

favoriteEmaildiscussreport

262views Computer Vision» more ICPR 2008»

Face recognition using Complete Fuzzy LDA

13 years 10 months ago

Face recognition using Complete Fuzzy LDA

Download figment.cse.usf.edu

In this paper, we propose a novel method for feature extraction and recognition, namely, Complete Fuzzy LDA (CFLDA). CFLDA combines the complete LDA and fuzzy set theory. CFLDA redefines the fuzzy between-class scatter matrix and fuzzy within-class scatter matrix that make fully of the distribution of sample and simultaneously extract the irregular discriminative information and regular discriminative information. Experiments on the Yale and FERET face databases show that CFLDA can work well and surpass Fuzzy Fisherface.

Wankou Yang, Hui Yan, Jianguo Wang, Jingyu Yang

Real-time Traffic

Complete Fuzzy LDA | Computer Vision | Fuzzy Between-class Scatter | Fuzzy Within-class Scatter | ICPR 2008 |

claim paper

Related Content

» Regularization of LDA for Face Recognition A Postprocessing Approach

» Whitened LDA for face recognition

» Face Recognition Using Angular LDA and SVM Ensembles

» Using Random Subspace to Combine Multiple Features for Face Recognition

» Normalized LDA for semisupervised learning

» A methodology for improving recognition rate of linear discriminant analysis in videobased...

» Face Recognition Using a Color Subspace LDA Approach

» Face Recognition using Layered Linear Discriminant Analysis and Small Subspace

» Face Age Classification on Consumer Images with Gabor Feature and Fuzzy LDA Method

Post Info
More Details (n/a)

Added	30 May 2010
Updated	30 May 2010
Type	Conference
Year	2008
Where	ICPR
Authors	Wankou Yang, Hui Yan, Jianguo Wang, Jingyu Yang

Comments (0)