Human Face Recognition Using GABOR Filter And Different Self Organizing Maps Neural Networks

This work implements the face recognition system based on two stages, the first stage is feature extraction stage and the second stage is the classification stage. The feature extraction stage consists of Self-Organizing Maps (SOM) in a hierarchical format in conjunction with Gabor Filters and local...

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Main Author: Dr. Tarik Zeyad
Format: Article
Language:English
Published: Al-Khwarizmi College of Engineering – University of Baghdad 2005-01-01
Series:Al-Khawarizmi Engineering Journal
Subjects:
Online Access:http://www.iasj.net/iasj?func=fulltext&aId=2228
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author Dr. Tarik Zeyad
author_facet Dr. Tarik Zeyad
author_sort Dr. Tarik Zeyad
collection DOAJ
description This work implements the face recognition system based on two stages, the first stage is feature extraction stage and the second stage is the classification stage. The feature extraction stage consists of Self-Organizing Maps (SOM) in a hierarchical format in conjunction with Gabor Filters and local image sampling. Different types of SOMs were used and a comparison between the results from these SOMs was given.<br />The next stage is the classification stage, and consists of self-organizing map neural network; the goal of this stage is to find the similar image to the input image. The proposal method algorithm implemented by using C++ packages, this work is successful classifier for a face database consist of 20 people with six images for each person and a measure of the time differences between the methods is given.<br />
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spelling doaj.art-aaf93273bac64802a2e01cafc025b0db2022-12-21T20:08:02ZengAl-Khwarizmi College of Engineering – University of BaghdadAl-Khawarizmi Engineering Journal1818-11712005-01-01113845Human Face Recognition Using GABOR Filter And Different Self Organizing Maps Neural NetworksDr. Tarik ZeyadThis work implements the face recognition system based on two stages, the first stage is feature extraction stage and the second stage is the classification stage. The feature extraction stage consists of Self-Organizing Maps (SOM) in a hierarchical format in conjunction with Gabor Filters and local image sampling. Different types of SOMs were used and a comparison between the results from these SOMs was given.<br />The next stage is the classification stage, and consists of self-organizing map neural network; the goal of this stage is to find the similar image to the input image. The proposal method algorithm implemented by using C++ packages, this work is successful classifier for a face database consist of 20 people with six images for each person and a measure of the time differences between the methods is given.<br />http://www.iasj.net/iasj?func=fulltext&aId=2228Self-Organizing MapGabor filter.
spellingShingle Dr. Tarik Zeyad
Human Face Recognition Using GABOR Filter And Different Self Organizing Maps Neural Networks
Al-Khawarizmi Engineering Journal
Self-Organizing Map
Gabor filter.
title Human Face Recognition Using GABOR Filter And Different Self Organizing Maps Neural Networks
title_full Human Face Recognition Using GABOR Filter And Different Self Organizing Maps Neural Networks
title_fullStr Human Face Recognition Using GABOR Filter And Different Self Organizing Maps Neural Networks
title_full_unstemmed Human Face Recognition Using GABOR Filter And Different Self Organizing Maps Neural Networks
title_short Human Face Recognition Using GABOR Filter And Different Self Organizing Maps Neural Networks
title_sort human face recognition using gabor filter and different self organizing maps neural networks
topic Self-Organizing Map
Gabor filter.
url http://www.iasj.net/iasj?func=fulltext&aId=2228
work_keys_str_mv AT drtarikzeyad humanfacerecognitionusinggaborfilteranddifferentselforganizingmapsneuralnetworks