IRIS RECOGNITION: THE PATH FORWARD.
The article focuses on advances made in iris recognition system that uses pattern matching to compare two iris images and generate a match score that reflects their degree of similarity or dissimilarity. The elements of the recognition system include the acquisition module, the segmentation module a...
| Publicado en: | Computer (00189162) Vol. 43; no. 2; pp. 30 - 36 |
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| Formato: | Artículo |
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IEEE
Feb2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=48478114&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 48478114 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Feb2010 vid: 43 iid: 2 pid: 13605 pub: IEEE artinfo: ui: 48478114 10.1109/MC.2010.44 ppf: 30 ppct: 6 formats: tig: atl: IRIS RECOGNITION: THE PATH FORWARD. aug: au: ROSS, Arun affil: West Virginia University, Emerita su: Biometric identification Iris (Eye) Pattern recognition systems Pattern perception Identification sug: subj: Biometric identification Iris (Eye) Pattern recognition systems Pattern perception Identification ab: The article focuses on advances made in iris recognition system that uses pattern matching to compare two iris images and generate a match score that reflects their degree of similarity or dissimilarity. The elements of the recognition system include the acquisition module, the segmentation module and encoding module. Research has been launched to explore the possibility of processing the iris information available in high-resolution color images of the face. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2010 holdings: @attributes: islocal: N |
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