Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48811
DC FieldValueLanguage
dc.contributor.authorMehta, Garimaen_US
dc.contributor.authorDutta, Malay Kishoreen_US
dc.contributor.authorTravieso-Gonzalez, Carlos M.en_US
dc.contributor.authorKim, Pyung Sooen_US
dc.date.accessioned2018-11-24T01:08:43Z-
dc.date.available2018-11-24T01:08:43Z-
dc.date.issued2014en_US
dc.identifier.isbn9781479966295en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/48811-
dc.description.abstractSecurity of biometric data plays a major concern due to extensive use of biometric systems in many applications. This paper proposes an efficient method for encryption of iris images using edge based encryption algorithm based on chaotic theory. In this proposed technique, the iris image is segmented into significant and non significant blocks to find region of interest (ROI) i.e. to localize iris from complete eye image from which features are extracted to generate biometric template. Selective encryption is used to encrypt the region of interest and it reduces the computational overhead and processing time as compared to full encryption techniques. The experimental results prove that edge based selective encryption significantly reduces the time of encryption of iris images as compared to full encryption method without any compromise in performance. Performance of proposed algorithm has been experimentally analyzed using key sensitivity analysis and the results prove that the encryption algorithm has high key sensitivity and the algorithm is lossless in nature.en_US
dc.languageengen_US
dc.relation.ispartofProceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014en_US
dc.sourceProceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014 (7019712), p. 383-386en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherEdge Based Selective Encryptionen_US
dc.subject.otherRegion Of Interesten_US
dc.subject.otherArnold Cat Mapen_US
dc.subject.otherLogistic Mapen_US
dc.titleEdge based selective encryption scheme for biometric data using chaotic theoryen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference2014 International Conference on Contemporary Computing and Informatics, IC3I 2014en_US
dc.identifier.doi10.1109/IC3I.2014.7019712en_US
dc.identifier.scopus84949922682-
dc.identifier.isi000380454900132-
dc.contributor.authorscopusid56047359400-
dc.contributor.authorscopusid35291803600-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid8728764000-
dc.description.lastpage386en_US
dc.identifier.issue7019712-
dc.description.firstpage383en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid2748928-
dc.contributor.daisngid35026383-
dc.contributor.daisngid265761-
dc.contributor.daisngid89171-
dc.description.numberofpages4en_US
dc.identifier.eisbn978-1-4799-6629-5-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Mehta, G-
dc.contributor.wosstandardWOS:Dutta, MK-
dc.contributor.wosstandardWOS:Travieso-Gonzalez, CM-
dc.contributor.wosstandardWOS:Kim, PS-
dc.date.coverdateEnero 2014en_US
dc.identifier.conferenceidevents120970-
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.event.eventsstartdate27-11-2014-
crisitem.event.eventsenddate29-11-2014-
Appears in Collections:Actas de congresos
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