An Efficient P-KCCA Algorithm for 2D-3D Face Recognition Using SVM

An Efficient P-KCCA Algorithm for 2D-3D Face Recognition Using SVM

In this paper, a novel face recognition system for face recognition and identification based on a combination of Principal Component Analysis and Kernel Canonical Correlation Analysis (P-KCCA) using Support Vector Machine (SVM) is proposed. First, the P-KCCA method is utilized to detect and extract...

Full description

Bibliographic Details
Main Authors: Patrik Kamencay, Robert Hudec, Miroslav Benco, Peter Sykora, Roman Radil
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2015-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
cca
face recognition
image classification
kcca
pca
svm
texas database.
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/1473

Internet

http://advances.utc.sk/index.php/AEEE/article/view/1473

Similar Items