Explaining Aluminous Ascientification Of Significance Examples Of Personal Study On Personal Identity
Main Authors: | Djuraeva Rano Bahrombekovna , Mukhammadiev Alisher Numonhan-ugli, Khodjaeva Mavluda Sabirovna , Jumaev Turdali Saminjonovich |
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Format: | Article info application/pdf eArticle |
Bahasa: | eng |
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Research Parks Publishing LLC
, 2020
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Online Access: |
https://journals.researchparks.org/index.php/IJIE/article/view/287 https://journals.researchparks.org/index.php/IJIE/article/view/287/280 |
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article-287 |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Explaining Aluminous Ascientification Of Significance Examples Of Personal Study On Personal Identity</title><creator>Djuraeva Rano Bahrombekovna </creator><creator>Mukhammadiev Alisher Numonhan-ugli</creator><creator>Khodjaeva Mavluda Sabirovna </creator><creator>Jumaev Turdali Saminjonovich </creator><subject lang="en-US">biometry</subject><subject lang="en-US">identification</subject><subject lang="en-US">character separation</subject><subject lang="en-US">ear tone image</subject><subject lang="en-US">discrete cosine swap method</subject><subject lang="en-US">main component method</subject><subject lang="en-US">specific numbers</subject><subject lang="en-US">original vectors</subject><description lang="en-US">This article lists the results of an experimental test of algorithms for recognizing ear tags. Like most biometric technologies, one of the key issues is the separation of the characteristic image, which is also included in the recognition of the person on the basis of the ear studship. Because the accuracy and accuracy of the program depends on the criteria for recognizing the person on the basis of any biometric technology. Therefore, by distinguishing the problem of discrete cosine exchange, using the main component method and algorithms for separation, the characteristic sign of the ear stud was detected. These algorithms can be used to develop personal identification systems based on earphones.</description><publisher lang="en-US">Research Parks Publishing LLC</publisher><date>2020-03-19</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>https://journals.researchparks.org/index.php/IJIE/article/view/287</identifier><identifier>10.31149/ijie.v2i1.287</identifier><source lang="en-US">International Journal on Integrated Education; Vol. 2 No. 1 (2019): IJIE; 48-52</source><source>2620-3502</source><source>2615-3785</source><source>10.31149/ijie.v2i1</source><language>eng</language><relation>https://journals.researchparks.org/index.php/IJIE/article/view/287/280</relation><rights lang="en-US">Copyright (c) 2020 International Journal on Integrated Education</rights><recordID>article-287</recordID></dc>
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language |
eng |
format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other File:application/pdf File Journal:eArticle |
author |
Djuraeva Rano Bahrombekovna Mukhammadiev Alisher Numonhan-ugli Khodjaeva Mavluda Sabirovna Jumaev Turdali Saminjonovich |
title |
Explaining Aluminous Ascientification Of Significance Examples Of Personal Study On Personal Identity |
publisher |
Research Parks Publishing LLC |
publishDate |
2020 |
topic |
biometry identification character separation ear tone image discrete cosine swap method main component method specific numbers original vectors |
url |
https://journals.researchparks.org/index.php/IJIE/article/view/287 https://journals.researchparks.org/index.php/IJIE/article/view/287/280 |
contents |
This article lists the results of an experimental test of algorithms for recognizing ear tags. Like most biometric technologies, one of the key issues is the separation of the characteristic image, which is also included in the recognition of the person on the basis of the ear studship. Because the accuracy and accuracy of the program depends on the criteria for recognizing the person on the basis of any biometric technology. Therefore, by distinguishing the problem of discrete cosine exchange, using the main component method and algorithms for separation, the characteristic sign of the ear stud was detected. These algorithms can be used to develop personal identification systems based on earphones. |
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Preaching and Tolerance Amongst Religion: An Analyses From Homiletic Perspective |
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