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 transfor...

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Autor principal:	Dr. Tarik Zeyad
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2017
Materias:	Keywords: Discrete Wavelet transform, WSOM, back propagation. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/9baa5d274c3e477dbcef7161b04149be
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spelling	oai:doaj.org-article:9baa5d274c3e477dbcef7161b04149be2021-12-02T05:46:59ZHuman Face Recognition Using Wavelet Network1818-11712312-0789https://doaj.org/article/9baa5d274c3e477dbcef7161b04149be2017-12-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/9https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 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. Dr. Tarik ZeyadAl-Khwarizmi College of Engineering – University of BaghdadarticleKeywords: Discrete Wavelet transform, WSOM, back propagation.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 1, Iss 2 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Keywords: Discrete Wavelet transform, WSOM, back propagation. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Keywords: Discrete Wavelet transform, WSOM, back propagation. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Dr. 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	Dr. Tarik Zeyad
author_facet	Dr. Tarik Zeyad
author_sort	Dr. 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	2017
url	https://doaj.org/article/9baa5d274c3e477dbcef7161b04149be
work_keys_str_mv	AT drtarikzeyad humanfacerecognitionusingwaveletnetwork
_version_	1718400247769595904

Human Face Recognition Using Wavelet Network

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