A new algorithm for rotation detection in iris pattern recognition

2012
book section
conference proceedings
dc.abstract.enA new method for finding the rotation angle in iris images for biometric identification is presented in this paper. The proposed approach is based on Fourier descriptors analysis and algebraic properties of vector rotation in complex space.pl
dc.affiliationWydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowejpl
dc.conference11th IFIP TC8 International Conference on Computer Information Systems and Industrial Management (CISIM 2012)
dc.conference.cityWenecja
dc.conference.countryWłochy
dc.conference.datefinish2012-09-28
dc.conference.datestart2012-09-26
dc.conference.indexwostrue
dc.contributor.authorMisztal, Krzysztof - 104632 pl
dc.contributor.authorTabor, Jacek - 132362 pl
dc.contributor.authorSaeed, Khalidpl
dc.contributor.editorCortesi, Agostinopl
dc.contributor.editorChaki, Nabendupl
dc.contributor.editorSaeed, Khalidpl
dc.contributor.editorWierzchoń, Sławomirpl
dc.date.accessioned2014-08-19T07:38:35Z
dc.date.available2014-08-19T07:38:35Z
dc.date.issued2012pl
dc.description.conftypeinternationalpl
dc.description.physical135-145pl
dc.description.seriesLecture Notes in Computer Science
dc.description.seriesnumber7564
dc.identifier.doi10.1007/978-3-642-33260-9_11pl
dc.identifier.eisbn978-3-642-33260-9pl
dc.identifier.isbn978-3-642-33259-3pl
dc.identifier.serieseissn1611-3349
dc.identifier.seriesissn0302-9743
dc.identifier.urihttp://ruj.uj.edu.pl/xmlui/handle/item/546
dc.languageengpl
dc.language.containerengpl
dc.pubinfoHeidelbergpl
dc.pubinfoDordrechtpl
dc.pubinfoLondonpl
dc.pubinfoNew York : Springerpl
dc.rights.licenceBez licencji otwartego dostępu
dc.source.integratorfalse
dc.subtypeConferenceProceedingspl
dc.titleA new algorithm for rotation detection in iris pattern recognitionpl
dc.title.containerComputer Information Systems and Industrial Management : 11th IFIP TC 8 International Conference, CISIM 2012 : Venice, Italy, September 26-28, 2012 : proceedingspl
dc.typeBookSectionpl
dspace.entity.typePublication
dc.abstract.enpl
A new method for finding the rotation angle in iris images for biometric identification is presented in this paper. The proposed approach is based on Fourier descriptors analysis and algebraic properties of vector rotation in complex space.
dc.affiliationpl
Wydział Matematyki i Informatyki : Instytut Informatyki i Matematyki Komputerowej
dc.conference
11th IFIP TC8 International Conference on Computer Information Systems and Industrial Management (CISIM 2012)
dc.conference.city
Wenecja
dc.conference.country
Włochy
dc.conference.datefinish
2012-09-28
dc.conference.datestart
2012-09-26
dc.conference.indexwos
true
dc.contributor.authorpl
Misztal, Krzysztof - 104632
dc.contributor.authorpl
Tabor, Jacek - 132362
dc.contributor.authorpl
Saeed, Khalid
dc.contributor.editorpl
Cortesi, Agostino
dc.contributor.editorpl
Chaki, Nabendu
dc.contributor.editorpl
Saeed, Khalid
dc.contributor.editorpl
Wierzchoń, Sławomir
dc.date.accessioned
2014-08-19T07:38:35Z
dc.date.available
2014-08-19T07:38:35Z
dc.date.issuedpl
2012
dc.description.conftypepl
international
dc.description.physicalpl
135-145
dc.description.series
Lecture Notes in Computer Science
dc.description.seriesnumber
7564
dc.identifier.doipl
10.1007/978-3-642-33260-9_11
dc.identifier.eisbnpl
978-3-642-33260-9
dc.identifier.isbnpl
978-3-642-33259-3
dc.identifier.serieseissn
1611-3349
dc.identifier.seriesissn
0302-9743
dc.identifier.uri
http://ruj.uj.edu.pl/xmlui/handle/item/546
dc.languagepl
eng
dc.language.containerpl
eng
dc.pubinfopl
Heidelberg
dc.pubinfopl
Dordrecht
dc.pubinfopl
London
dc.pubinfopl
New York : Springer
dc.rights.licence
Bez licencji otwartego dostępu
dc.source.integrator
false
dc.subtypepl
ConferenceProceedings
dc.titlepl
A new algorithm for rotation detection in iris pattern recognition
dc.title.containerpl
Computer Information Systems and Industrial Management : 11th IFIP TC 8 International Conference, CISIM 2012 : Venice, Italy, September 26-28, 2012 : proceedings
dc.typepl
BookSection
dspace.entity.type
Publication
Affiliations

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