Automatic Face Recognition Approaches

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43921402" target="_blank" >RIV/49777513:23520/14:43921402 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Automatic Face Recognition Approaches

Original language description

This paper deals with automatic face recognition. The main goal of this paper is to review most important face recognition approaches with their theoretical and practical advantages and drawbacks. We further evaluate and compare these approaches with each other. We conclude that it is generally not possible to identify a best performing face recognition approach and that the choice of the optimal method is strictly related to the target application. We assume that the future research directions will address the main issue of the current approaches, insufficient recognition accuracy in the totally uncontrolled environment

Czech name

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Czech description

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Type

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

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for Information Society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

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

Name of the periodical

Journal of Theoretical and Applied Information Technology

ISSN

1992-8645

e-ISSN

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Volume of the periodical

59

Issue of the periodical within the volume

3

Country of publishing house

PK - PAKISTAN

Number of pages

11

Pages from-to

759-769

UT code for WoS article

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EID of the result in the Scopus database

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