A survey on prominent iris recognition systems

A survey on prominent iris recognition systems

Biometric identification system is used for the automatic identification of an individual based on the unique characteristics or features possessed by an individual. Many Biometric Technologies are available today. Iris Recognition System is the most reliable and accurate Biometric identification sy...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: George, A. M., Durai, C. A. D.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Accuracy
Biometric Technology
Discrete cosine transforms
Eyelashes
Feature extraction
Features
Gabor filters
Iris recognition
Iris Recognition System
Rapidity
Robustness
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 195
container_issue
container_start_page 191
container_title
container_volume
creator George, A. M.
Durai, C. A. D.
description Biometric identification system is used for the automatic identification of an individual based on the unique characteristics or features possessed by an individual. Many Biometric Technologies are available today. Iris Recognition System is the most reliable and accurate Biometric identification system available. Iris Recognition is the identification of an individual based on iris features. In the past few years many methods are used to improve the performance of iris recognition systems. These methods mainly focused on the robustness, accuracy and rapidity of iris recognition systems. The purpose of this technical report is for comparing different iris recognition systems based on their performance.
doi_str_mv 10.1109/ICICES.2013.6508207
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6508207</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6508207</ieee_id><sourcerecordid>6508207</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-ba07bcfc145fd558f5ae1cfa638abde2795bdc0903ad5fc8bff81f0faaac5a253</originalsourceid><addsrcrecordid>eNo1j8FKxDAURSMiqGO_YDb5gdaXZF6TLocyamHAhQruhpc0kYhth6QK_XsHHFeXy-EeuIytBVRCQHPftV27e6kkCFXVCEaCvmC3YlNrhdqY90tWNNr897q5ZkXOnwBwWtfSmBtWbXn-Tj9-4dPIj2ka4ujHmccUM0_eTR9jnOMJ5SXPfsh37CrQV_bFOVfs7WH32j6V--fHrt3uyyg0zqUl0NYFJzYYekQTkLxwgWplyPZe6gZt76ABRT0GZ2wIRgQIROSQJKoVW_95o_f-cExxoLQczhfVLzpaRtE</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A survey on prominent iris recognition systems</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>George, A. M. ; Durai, C. A. D.</creator><creatorcontrib>George, A. M. ; Durai, C. A. D.</creatorcontrib><description>Biometric identification system is used for the automatic identification of an individual based on the unique characteristics or features possessed by an individual. Many Biometric Technologies are available today. Iris Recognition System is the most reliable and accurate Biometric identification system available. Iris Recognition is the identification of an individual based on iris features. In the past few years many methods are used to improve the performance of iris recognition systems. These methods mainly focused on the robustness, accuracy and rapidity of iris recognition systems. The purpose of this technical report is for comparing different iris recognition systems based on their performance.</description><identifier>ISBN: 9781467357869</identifier><identifier>ISBN: 1467357863</identifier><identifier>EISBN: 146735788X</identifier><identifier>EISBN: 9781467357883</identifier><identifier>EISBN: 9781467357876</identifier><identifier>EISBN: 1467357871</identifier><identifier>DOI: 10.1109/ICICES.2013.6508207</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Biometric Technology ; Discrete cosine transforms ; Eyelashes ; Feature extraction ; Features ; Gabor filters ; Iris recognition ; Iris Recognition System ; Rapidity ; Robustness</subject><ispartof>2013 International Conference on Information Communication and Embedded Systems (ICICES), 2013, p.191-195</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6508207$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6508207$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>George, A. M.</creatorcontrib><creatorcontrib>Durai, C. A. D.</creatorcontrib><title>A survey on prominent iris recognition systems</title><title>2013 International Conference on Information Communication and Embedded Systems (ICICES)</title><addtitle>ICICES</addtitle><description>Biometric identification system is used for the automatic identification of an individual based on the unique characteristics or features possessed by an individual. Many Biometric Technologies are available today. Iris Recognition System is the most reliable and accurate Biometric identification system available. Iris Recognition is the identification of an individual based on iris features. In the past few years many methods are used to improve the performance of iris recognition systems. These methods mainly focused on the robustness, accuracy and rapidity of iris recognition systems. The purpose of this technical report is for comparing different iris recognition systems based on their performance.</description><subject>Accuracy</subject><subject>Biometric Technology</subject><subject>Discrete cosine transforms</subject><subject>Eyelashes</subject><subject>Feature extraction</subject><subject>Features</subject><subject>Gabor filters</subject><subject>Iris recognition</subject><subject>Iris Recognition System</subject><subject>Rapidity</subject><subject>Robustness</subject><isbn>9781467357869</isbn><isbn>1467357863</isbn><isbn>146735788X</isbn><isbn>9781467357883</isbn><isbn>9781467357876</isbn><isbn>1467357871</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j8FKxDAURSMiqGO_YDb5gdaXZF6TLocyamHAhQruhpc0kYhth6QK_XsHHFeXy-EeuIytBVRCQHPftV27e6kkCFXVCEaCvmC3YlNrhdqY90tWNNr897q5ZkXOnwBwWtfSmBtWbXn-Tj9-4dPIj2ka4ujHmccUM0_eTR9jnOMJ5SXPfsh37CrQV_bFOVfs7WH32j6V--fHrt3uyyg0zqUl0NYFJzYYekQTkLxwgWplyPZe6gZt76ABRT0GZ2wIRgQIROSQJKoVW_95o_f-cExxoLQczhfVLzpaRtE</recordid><startdate>201302</startdate><enddate>201302</enddate><creator>George, A. M.</creator><creator>Durai, C. A. D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201302</creationdate><title>A survey on prominent iris recognition systems</title><author>George, A. M. ; Durai, C. A. D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-ba07bcfc145fd558f5ae1cfa638abde2795bdc0903ad5fc8bff81f0faaac5a253</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>Biometric Technology</topic><topic>Discrete cosine transforms</topic><topic>Eyelashes</topic><topic>Feature extraction</topic><topic>Features</topic><topic>Gabor filters</topic><topic>Iris recognition</topic><topic>Iris Recognition System</topic><topic>Rapidity</topic><topic>Robustness</topic><toplevel>online_resources</toplevel><creatorcontrib>George, A. M.</creatorcontrib><creatorcontrib>Durai, C. A. D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>George, A. M.</au><au>Durai, C. A. D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A survey on prominent iris recognition systems</atitle><btitle>2013 International Conference on Information Communication and Embedded Systems (ICICES)</btitle><stitle>ICICES</stitle><date>2013-02</date><risdate>2013</risdate><spage>191</spage><epage>195</epage><pages>191-195</pages><isbn>9781467357869</isbn><isbn>1467357863</isbn><eisbn>146735788X</eisbn><eisbn>9781467357883</eisbn><eisbn>9781467357876</eisbn><eisbn>1467357871</eisbn><abstract>Biometric identification system is used for the automatic identification of an individual based on the unique characteristics or features possessed by an individual. Many Biometric Technologies are available today. Iris Recognition System is the most reliable and accurate Biometric identification system available. Iris Recognition is the identification of an individual based on iris features. In the past few years many methods are used to improve the performance of iris recognition systems. These methods mainly focused on the robustness, accuracy and rapidity of iris recognition systems. The purpose of this technical report is for comparing different iris recognition systems based on their performance.</abstract><pub>IEEE</pub><doi>10.1109/ICICES.2013.6508207</doi><tpages>5</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781467357869
ispartof 2013 International Conference on Information Communication and Embedded Systems (ICICES), 2013, p.191-195
issn
language eng
recordid cdi_ieee_primary_6508207
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Accuracy
Biometric Technology
Discrete cosine transforms
Eyelashes
Feature extraction
Features
Gabor filters
Iris recognition
Iris Recognition System
Rapidity
Robustness
title A survey on prominent iris recognition systems
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T12%3A09%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=A%20survey%20on%20prominent%20iris%20recognition%20systems&rft.btitle=2013%20International%20Conference%20on%20Information%20Communication%20and%20Embedded%20Systems%20(ICICES)&rft.au=George,%20A.%20M.&rft.date=2013-02&rft.spage=191&rft.epage=195&rft.pages=191-195&rft.isbn=9781467357869&rft.isbn_list=1467357863&rft_id=info:doi/10.1109/ICICES.2013.6508207&rft_dat=%3Cieee_6IE%3E6508207%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=146735788X&rft.eisbn_list=9781467357883&rft.eisbn_list=9781467357876&rft.eisbn_list=1467357871&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6508207&rfr_iscdi=true