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https://hdl.handle.net/10216/319
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DC Field | Value | Language |
---|---|---|
dc.creator | Fernando Jorge Soares Carvalho | |
dc.creator | João Manuel Ribeiro da Silva Tavares | |
dc.date.accessioned | 2022-09-12T07:13:46Z | - |
dc.date.available | 2022-09-12T07:13:46Z | - |
dc.date.issued | 2007 | |
dc.identifier.other | sigarra:56307 | |
dc.identifier.uri | https://hdl.handle.net/10216/319 | - |
dc.description.abstract | In this paper two methodologies todetect and locate the iris of the eye in static images, are pre-sented. One uses the Houghs transform and other is based on deformable templates. In both methodologies, the contour of the iris is represented geometrically by a circumference and its radius and centre are considered as its control parameters. The dynamic update of these parameters allows the determination of its final values, enabling the fully definition of the iris in the image. After a description of the considered methodologies, the advantages and disadvantages between them are presented, as well as some experimental results, conclusions and perspectives of future work. | |
dc.language.iso | eng | |
dc.relation.ispartof | Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications | |
dc.rights | restrictedAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.subject | Tecnologia de computadores, Outras ciências da engenharia e tecnologias | |
dc.subject | Computer technology, Other engineering and technologies | |
dc.title | Two methodologies for iris detection and location in face images | |
dc.type | Artigo em Livro de Atas de Conferência Internacional | |
dc.contributor.uporto | Faculdade de Engenharia | |
dc.identifier.authenticus | P-004-FAC | |
dc.subject.fos | Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias | |
dc.subject.fos | Engineering and technology::Other engineering and technologies | |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
Files in This Item:
File | Description | Size | Format | |
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56307.pdf Restricted Access | 345.93 kB | Adobe PDF | Request a copy from the Author(s) |
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