{"dcterms:modified":"2026-04-09","dcterms:creator":"POLEN DataHub","@type":"ore:ResourceMap","schema:additionalType":"Dataverse OREMap Format v1.0.1","dvcore:generatedBy":{"@type":"schema:SoftwareApplication","schema:name":"Dataverse","schema:version":"6.6","schema:url":"https://github.com/iqss/dataverse"},"@id":"https://datahub.polen.fccn.pt/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.57979/OSM3H8","ore:describes":{"publication":{"publicationCitation":"UBIRIS: a noisy iris image database. Springer Lecture Notes in Computer Science – ICIAP 2005: 13th International Conference on Image Analysis and Processing, volume 1, pag. 970-977, Cagliari, Italy, September 6-8, 2005. DOI: 10.1007/11553595_119.","publicationIDType":"doi","publicationIDNumber":"10.1007/11553595_119","publicationURL":"http://www.di.ubi.pt/~hugomcp/doc/ubiris_iciap.pdf"},"citation:datasetContact":{"citation:datasetContactName":"Proença, Hugo Pedro","citation:datasetContactAffiliation":"University of Beira Interior","citation:datasetContactEmail":"hugomcp@di.ubi.pt"},"citation:keyword":[{"citation:keywordValue":"biometrics"},{"citation:keywordValue":"iris recognition"}],"author":{"citation:authorName":"Proença, Hugo Pedro","citation:authorAffiliation":"University of Beira Interior","authorIdentifierScheme":"ORCID","authorIdentifier":"0000-0003-2551-8570"},"citation:dsDescription":{"citation:dsDescriptionValue":"UBIRIS.v1 database is composed of 1877 images collected from 241 persons during September, 2004 in two distinct sessions. Its most relevant characteristic is to incorporate images with several noise factors, simulating less constrained image acquisition environments. This enables the evaluation of the robustness of iris recognition methods.\n\nFor the first image capture session, the enrollment one, we tried to minimize noise factors, specially those relative to reflections, luminosity and contrast, having installed image capture framework inside a dark room.\n\nIn the second session we changed the capture place in order to introduce natural luminosity factor. This propitiates the appearance of heterogeneous images with respect to reflections, contrast, luminosity and focus problems. Images collected at this stage simulate the ones captured by a vision system without or with minimal active participation from the subjects, adding several noise problems. These images will be on the recognition stage compared to the ones collected during first session."},"dateOfDeposit":"2023-05-24","title":"UBIRIS.v1","citation:depositor":"Proença, Hugo Pedro","@id":"https://doi.org/10.57979/OSM3H8","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"UBIRIS.v1","schema:dateModified":"Wed May 24 13:30:56 UTC 2023","schema:datePublished":"2023-05-24","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/licenses/by/4.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"POLEN DataHub","schema:isPartOf":{"schema:name":"Hugo Pedro Proença Dataverse","@id":"https://datahub.polen.fccn.pt/dataverse/UBIRIS","schema:description":"UBIRIS.v1 database is composed of 1877 images collected from 241 persons during September, 2004 in two distinct sessions. Its most relevant characteristic is to incorporate images with several noise factors, simulating less constrained image acquisition environments. This enables the evaluation of the robustness of iris recognition methods.\n\nFor the first image capture session, the enrollment one, we tried to minimize noise factors, specially those relative to reflections, luminosity and contrast, having installed image capture framework inside a dark room.\n\nIn the second session we changed the capture place in order to introduce natural luminosity factor. This propitiates the appearance of heterogeneous images with respect to reflections, contrast, luminosity and focus problems. Images collected at this stage simulate the ones captured by a vision system without or with minimal active participation from the subjects, adding several noise problems. These images will be on the recognition stage compared to the ones collected during first session.\n\n ","schema:isPartOf":{"schema:name":"IT-UBI: Instituto de Telecomunicações, Universidade da Beira Interior","@id":"https://datahub.polen.fccn.pt/dataverse/IT-UBI","schema:description":"

Coleção Dataverse criada no âmbito da fase piloto do Repositório Polen, gerida pela Universidade da Beira Interior.

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Contexto de dados: Base de Dados de Imagens, UBIRIS

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O Repositório de Dados de Investigação POLEN DataHub é disponibilizado pela FCCN, serviços digitais FCT – Fundação para a Ciência e a Tecnologia, com o objetivo de promover a abertura e a partilha de dados resultantes de investigação financiada, servindo a comunidade científica nacional.

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Esta plataforma está alinhada com a prática da Ciência Aberta e com os princípios FAIR para a gestão de dados de investigação, estando integrada nos serviços abrangidos pelo Programa Nacional de Ciência Aberta e Dados Abertos de Investigação (PNCADAI), financiado pela medida RE-C05-i08 – Ciência Mais Digital, no âmbito do Programa de Recuperação e Resiliência (PRR).

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O POLEN DataHub está dividido em duas áreas: a área de Coleções Institucionais (dedicada às entidades aderentes) e a Área Geral (dedicada aos beneficiários FCT sem solução primária: repositório de dados institucional, temático ou Coleção Institucional no POLEN DataHub).

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