Human Face Recognition Using Wavelet Network

This paper presents a study of wavelet self-organizing maps (WSOM) for face recognition. The WSOM is a feed forward network that estimates optimized wavelet based for the discrete wavelet transform (DWT) on the basis of the distribution of the input data, where wavelet basis transforms are used as a...

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Autor principal:	Tarik Zeyad
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2005
Materias:	Discrete Wavelet transform WSOM back propagation Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/27acca5946d343fea75bdbf68f1b33ef
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id	oai:doaj.org-article:27acca5946d343fea75bdbf68f1b33ef
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spelling	oai:doaj.org-article:27acca5946d343fea75bdbf68f1b33ef2021-12-02T07:36:17ZHuman Face Recognition Using Wavelet Network1818-1171https://doaj.org/article/27acca5946d343fea75bdbf68f1b33ef2005-01-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=2327https://doaj.org/toc/1818-1171This paper presents a study of wavelet self-organizing maps (WSOM) for face recognition. The WSOM is a feed forward network that estimates optimized wavelet based for the discrete wavelet transform (DWT) on the basis of the distribution of the input data, where wavelet basis transforms are used as activation function.Tarik ZeyadAl-Khwarizmi College of Engineering – University of BaghdadarticleDiscrete Wavelet transformWSOMback propagationChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 1, Iss 2, Pp 14-21 (2005)
institution	DOAJ
collection	DOAJ
language	EN
topic	Discrete Wavelet transform WSOM back propagation Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Discrete Wavelet transform WSOM back propagation Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Tarik Zeyad Human Face Recognition Using Wavelet Network
description	This paper presents a study of wavelet self-organizing maps (WSOM) for face recognition. The WSOM is a feed forward network that estimates optimized wavelet based for the discrete wavelet transform (DWT) on the basis of the distribution of the input data, where wavelet basis transforms are used as activation function.
format	article
author	Tarik Zeyad
author_facet	Tarik Zeyad
author_sort	Tarik Zeyad
title	Human Face Recognition Using Wavelet Network
title_short	Human Face Recognition Using Wavelet Network
title_full	Human Face Recognition Using Wavelet Network
title_fullStr	Human Face Recognition Using Wavelet Network
title_full_unstemmed	Human Face Recognition Using Wavelet Network
title_sort	human face recognition using wavelet network
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2005
url	https://doaj.org/article/27acca5946d343fea75bdbf68f1b33ef
work_keys_str_mv	AT tarikzeyad humanfacerecognitionusingwaveletnetwork
_version_	1718399326566219776

Human Face Recognition Using Wavelet Network

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