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Cross entropy clustering approach to iris segmentation for biometrics purpose

2015
journal article
article
10.4467/20838476SI.15.003.3025
Journal
Schedae Informaticae
Author
Misztal Krzysztof

Spurek Przemysław

Saeed Emil

Saeed Khalid

Tabor Jacek
Volume
24
Pages
31-40
ISSN
1732-3916
eISSN
2083-8476
Keywords in English

CEC

iris recognition

cross entropy clustering

biometrics

Language
English
Journal language
English
Abstract in English

This work presents the step by step tutorial for how to use cross entropy clustering for the iris segmentation. We present the detailed construction of a suitable Gaussian model which best fits for in the case of iris images, and this is the novelty of the proposal approach. The obtained results are promising, both pupil and iris are extracted properly and all the information necessary for human identification and verification can be extracted from the found parts of the iris.

Affiliation
Wydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowej
Scopus© citations
5
dc.abstract.enThis work presents the step by step tutorial for how to use cross entropy clustering for the iris segmentation. We present the detailed construction of a suitable Gaussian model which best fits for in the case of iris images, and this is the novelty of the proposal approach. The obtained results are promising, both pupil and iris are extracted properly and all the information necessary for human identification and verification can be extracted from the found parts of the iris.pl
dc.affiliationWydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowejpl
dc.contributor.authorMisztal, Krzysztof - 104632 pl
dc.contributor.authorSpurek, Przemysław - 135993 pl
dc.contributor.authorSaeed, Emilpl
dc.contributor.authorSaeed, Khalidpl
dc.contributor.authorTabor, Jacek - 132362 pl
dc.date.accessioned2016-06-16T11:59:05Z
dc.date.available2016-06-16T11:59:05Z
dc.date.issued2015pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.physical31-40pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume24pl
dc.identifier.doi10.4467/20838476SI.15.003.3025pl
dc.identifier.eissn2083-8476pl
dc.identifier.issn1732-3916pl
dc.identifier.projectROD UJ / Ppl
dc.identifier.urihttp://ruj.uj.edu.pl/xmlui/handle/item/28033
dc.languageengpl
dc.language.containerengpl
dc.rightsDozwolony użytek utworów chronionych
dc.rights.licenceInna otwarta licencja
dc.rights.simpleviewWolny dostęp
dc.rights.urihttp://ruj.uj.edu.pl/4dspace/License/copyright/licencja_copyright.pdf
dc.share.typeotwarte czasopismo
dc.subject.enCECpl
dc.subject.eniris recognitionpl
dc.subject.encross entropy clusteringpl
dc.subject.enbiometricspl
dc.subtypeArticlepl
dc.titleCross entropy clustering approach to iris segmentation for biometrics purposepl
dc.title.journalSchedae Informaticaepl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
This work presents the step by step tutorial for how to use cross entropy clustering for the iris segmentation. We present the detailed construction of a suitable Gaussian model which best fits for in the case of iris images, and this is the novelty of the proposal approach. The obtained results are promising, both pupil and iris are extracted properly and all the information necessary for human identification and verification can be extracted from the found parts of the iris.
dc.affiliationpl
Wydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowej
dc.contributor.authorpl
Misztal, Krzysztof - 104632
dc.contributor.authorpl
Spurek, Przemysław - 135993
dc.contributor.authorpl
Saeed, Emil
dc.contributor.authorpl
Saeed, Khalid
dc.contributor.authorpl
Tabor, Jacek - 132362
dc.date.accessioned
2016-06-16T11:59:05Z
dc.date.available
2016-06-16T11:59:05Z
dc.date.issuedpl
2015
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.physicalpl
31-40
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
24
dc.identifier.doipl
10.4467/20838476SI.15.003.3025
dc.identifier.eissnpl
2083-8476
dc.identifier.issnpl
1732-3916
dc.identifier.projectpl
ROD UJ / P
dc.identifier.uri
http://ruj.uj.edu.pl/xmlui/handle/item/28033
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights
Dozwolony użytek utworów chronionych
dc.rights.licence
Inna otwarta licencja
dc.rights.simpleview
Wolny dostęp
dc.rights.uri
http://ruj.uj.edu.pl/4dspace/License/copyright/licencja_copyright.pdf
dc.share.type
otwarte czasopismo
dc.subject.enpl
CEC
dc.subject.enpl
iris recognition
dc.subject.enpl
cross entropy clustering
dc.subject.enpl
biometrics
dc.subtypepl
Article
dc.titlepl
Cross entropy clustering approach to iris segmentation for biometrics purpose
dc.title.journalpl
Schedae Informaticae
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations
Wydział Matematyki i Informatyki
Misztal, Krzysztof
Spurek, Przemysław
Tabor, Jacek
No affiliation
Saeed, Emil
Saeed, Khalid

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