36 search results - page 3 / 8 » Dimension Reduction Methods for Iris Recognition |
ICDAR
2011
IEEE
12 years 4 months ago
2011
IEEE
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
PR
2008
13 years 4 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
FGR
2006
IEEE
13 years 8 months ago
2006
IEEE
Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensi...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
In this paper, we propose a novel feature extraction method for face recognition. This method is based on Discrete Cosine Transform (DCT), Energy Probability (EP), and Linear Disc...
NIPS
2008
13 years 6 months ago
2008
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...