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
Format: Article info application/pdf eArticle
Bahasa: eng
Terbitan: Research Parks Publishing LLC , 2020
Subjects:
Online Access: https://journals.researchparks.org/index.php/IJIE/article/view/287
https://journals.researchparks.org/index.php/IJIE/article/view/287/280
ctrlnum article-287
fullrecord <?xml version="1.0"?> <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>
language eng
format Journal:Article
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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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