Face Recognition Using PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) Techniques

IJARCCE

doi 10.17148/ijarcce.2015.4373

Full Text

Abstract

Available in

Date

Authors

Publisher

Tejass Publisheers

Related search

Face Recognition Using Holistic Features and Linear Discriminant Analysis Simplification

Telkomnika
Electronic EngineeringElectrical
2012English

Biometric Authentication With Face Recognition Using Principal Component Analysis and Feature Based Technique

International Journal of Computer Applications
2012English

3D Face Recognition Based on Radon Transform, PCA, LDA Using KNN and SVM

International Journal of Image, Graphics and Signal Processing
2014English

Enforcement of the Principal Component Analysis–extreme Learning Machine Algorithm by Linear Discriminant Analysis

Neural Computing and Applications
Artificial IntelligenceSoftware
2015English

Face Recognition Based on Uncorrelated Multilinear PCA Plus Classical LDA

International Journal of Signal Processing, Image Processing and Pattern Recognition
Signal Processing
2015English

A Scalable Formulation of Probabilistic Linear Discriminant Analysis: Applied to Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern RecognitionApplied MathematicsComputer VisionMathematicsComputational TheoryArtificial IntelligenceSoftware
2013English

Integrating Affinity Propagation Clustering Method With Linear Discriminant Analysis for Face Recognition

Optical Engineering
EngineeringOpticsAtomicMolecular Physics,
2007English

Modeling and Analysis of the DSR Complex Shear Modulus Using the Principal Component Analysis (PCA)

Journal of Applied Sciences
2020English

Face Recognition Using Principal Component Analysis With Median for Normalization on a Heterogeneous Data Set

2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy