Face recognition by means of new algorithms

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F11%3A00173391" target="_blank" >RIV/62156489:43110/11:00173391 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Face recognition by means of new algorithms

Original language description

This contribution describes new methods of face recognition. The methods Principal Component Analysis (PCA) and Evolutionary Principal Component Analysis (EPCA) with genetic algorithm (GA) are described and implemented. The Radial Basis Function (RBF) neural network is used in the way of classifier and genetic algorithm is used for RBF neural network training in one case and for selecting eigenvectors from PCA method in other case. Evolutionary PCA with genetic algorithm outperform other methods testedin this project on the testing database.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

—

Project

—

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Mendel

ISSN

1803-3814

e-ISSN

—

Volume of the periodical

2011

Issue of the periodical within the volume

1

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

6

Pages from-to

504-509

UT code for WoS article

—

EID of the result in the Scopus database

—