Ear Recognition by Using Self Organizing Feature Map
A wide variety of systems requires reliable personal recognition schemes to either confirm or determine the identity of an individual requesting their services. The purpose of such schemes is to ensure that the rendered services are accessed only by a legitimate user and no one else.The aim of the w...
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Format: | Article |
Language: | English |
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Unviversity of Technology- Iraq
2013-07-01
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Series: | Engineering and Technology Journal |
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Online Access: | https://etj.uotechnology.edu.iq/article_82289_be6ef8f293a9f61db6084b01013b9480.pdf |
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author | Suad K. Mohammad |
author_facet | Suad K. Mohammad |
author_sort | Suad K. Mohammad |
collection | DOAJ |
description | A wide variety of systems requires reliable personal recognition schemes to either confirm or determine the identity of an individual requesting their services. The purpose of such schemes is to ensure that the rendered services are accessed only by a legitimate user and no one else.The aim of the work presented within this paper is to develop an optimum image compression system using haar wavelet transform and a neural network. In this paper we have developed and illustrated a recognition system for human ears using a Kohonen self-organizing map (SOM) or Self-Organizing Feature Map (SOFM) based retrieval system. SOM has good feature extracting property due to its topological ordering. The ear Analytics results for the 4 images of database reflect that the ear recognition using one of the neural network algorithms SOM for 4 persons. MATLAB programs were used to complete this work. |
first_indexed | 2024-03-08T06:11:55Z |
format | Article |
id | doaj.art-dfc0df4bf8cf4a60a6ae956e49b49c5a |
institution | Directory Open Access Journal |
issn | 1681-6900 2412-0758 |
language | English |
last_indexed | 2024-03-08T06:11:55Z |
publishDate | 2013-07-01 |
publisher | Unviversity of Technology- Iraq |
record_format | Article |
series | Engineering and Technology Journal |
spelling | doaj.art-dfc0df4bf8cf4a60a6ae956e49b49c5a2024-02-04T17:36:03ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582013-07-0131102000201310.30684/etj.31.10A1482289Ear Recognition by Using Self Organizing Feature MapSuad K. MohammadA wide variety of systems requires reliable personal recognition schemes to either confirm or determine the identity of an individual requesting their services. The purpose of such schemes is to ensure that the rendered services are accessed only by a legitimate user and no one else.The aim of the work presented within this paper is to develop an optimum image compression system using haar wavelet transform and a neural network. In this paper we have developed and illustrated a recognition system for human ears using a Kohonen self-organizing map (SOM) or Self-Organizing Feature Map (SOFM) based retrieval system. SOM has good feature extracting property due to its topological ordering. The ear Analytics results for the 4 images of database reflect that the ear recognition using one of the neural network algorithms SOM for 4 persons. MATLAB programs were used to complete this work.https://etj.uotechnology.edu.iq/article_82289_be6ef8f293a9f61db6084b01013b9480.pdfimage compressiontwodimensional wavelet packet analysishaar waveletvector quantizationselforganizing feature mapneural network and pattern recognition |
spellingShingle | Suad K. Mohammad Ear Recognition by Using Self Organizing Feature Map Engineering and Technology Journal image compression two dimensional wavelet packet analysis haar wavelet vector quantization self organizing feature map neural network and pattern recognition |
title | Ear Recognition by Using Self Organizing Feature Map |
title_full | Ear Recognition by Using Self Organizing Feature Map |
title_fullStr | Ear Recognition by Using Self Organizing Feature Map |
title_full_unstemmed | Ear Recognition by Using Self Organizing Feature Map |
title_short | Ear Recognition by Using Self Organizing Feature Map |
title_sort | ear recognition by using self organizing feature map |
topic | image compression two dimensional wavelet packet analysis haar wavelet vector quantization self organizing feature map neural network and pattern recognition |
url | https://etj.uotechnology.edu.iq/article_82289_be6ef8f293a9f61db6084b01013b9480.pdf |
work_keys_str_mv | AT suadkmohammad earrecognitionbyusingselforganizingfeaturemap |