HUMAN FACE RECOGNITION USING GABOR FILTER AND SELF ORGANIZING MAP NEURAL NETWORK

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 in a hierarchical format in conjunetion with Gabor Filters and loca...

Full description

Bibliographic Details
Main Authors: Tarik Zeyad, Mohamed Fadhel
Format: Article
Language:English
Published: University of Baghdad 2005-12-01
Series:Journal of Engineering
Online Access:https://www.joe.uobaghdad.edu.iq/index.php/main/article/view/3310
_version_ 1797267055032926208
author Tarik Zeyad
Mohamed Fadhel
author_facet Tarik Zeyad
Mohamed Fadhel
author_sort 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 in a hierarchical format in conjunetion with Gabor Filters and local image sampling.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.
first_indexed 2024-03-07T15:36:47Z
format Article
id doaj.art-7c259e8dded9467782b1e57f576d76a6
institution Directory Open Access Journal
issn 1726-4073
2520-3339
language English
last_indexed 2024-04-25T01:10:30Z
publishDate 2005-12-01
publisher University of Baghdad
record_format Article
series Journal of Engineering
spelling doaj.art-7c259e8dded9467782b1e57f576d76a62024-03-10T09:52:29ZengUniversity of BaghdadJournal of Engineering1726-40732520-33392005-12-01110410.31026/j.eng.2005.04.12HUMAN FACE RECOGNITION USING GABOR FILTER AND SELF ORGANIZING MAP NEURAL NETWORK Tarik ZeyadMohamed Fadhel 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 in a hierarchical format in conjunetion with Gabor Filters and local image sampling.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. https://www.joe.uobaghdad.edu.iq/index.php/main/article/view/3310
spellingShingle Tarik Zeyad
Mohamed Fadhel
HUMAN FACE RECOGNITION USING GABOR FILTER AND SELF ORGANIZING MAP NEURAL NETWORK
Journal of Engineering
title HUMAN FACE RECOGNITION USING GABOR FILTER AND SELF ORGANIZING MAP NEURAL NETWORK
title_full HUMAN FACE RECOGNITION USING GABOR FILTER AND SELF ORGANIZING MAP NEURAL NETWORK
title_fullStr HUMAN FACE RECOGNITION USING GABOR FILTER AND SELF ORGANIZING MAP NEURAL NETWORK
title_full_unstemmed HUMAN FACE RECOGNITION USING GABOR FILTER AND SELF ORGANIZING MAP NEURAL NETWORK
title_short HUMAN FACE RECOGNITION USING GABOR FILTER AND SELF ORGANIZING MAP NEURAL NETWORK
title_sort human face recognition using gabor filter and self organizing map neural network
url https://www.joe.uobaghdad.edu.iq/index.php/main/article/view/3310
work_keys_str_mv AT tarikzeyad humanfacerecognitionusinggaborfilterandselforganizingmapneuralnetwork
AT mohamedfadhel humanfacerecognitionusinggaborfilterandselforganizingmapneuralnetwork