Dimension Reduction Methods for Iris Recognition

13 years 2 months ago

Download sunsite.informatik.rwth-aachen.de

In this paper, we compare performance of several dimension reduction techniques, namely LSI, FastMap, and SDD in Iris recognition. We compare the quality of these methods from both the visual impact, and quality of generated "eigenirises".

Pavel Moravec, Václav Snásel

Real-time Traffic

Database | DATESO 2009 | Dimension Reduction Techniques | Iris Recognition | Visual Impact |

claim paper

» Multilinear TensorBased Nonparametric Dimension Reduction for Gait Recognition

» Dimension Reduction Using SemiSupervised Locally Linear Embedding for Plant Leaf Classific...

» GraphBased Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent ...

» Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition

» Projection Penalties Dimension Reduction without Loss

» Estimating manifold dimension by inversion error

» Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verificati...

» Face Recognition using PCA and LDA with Singular Value Decomposition SVD

Post Info
More Details (n/a)

Added	17 Feb 2011
Updated	17 Feb 2011
Type	Journal
Year	2009
Where	DATESO
Authors	Pavel Moravec, Václav Snásel

Comments (0)

Sciweavers

Dimension Reduction Methods for Iris Recognition

Database | DATESO 2009 | Dimension Reduction Techniques | Iris Recognition | Visual Impact |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers