<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1815-5928</journal-id>
<journal-title><![CDATA[Ingeniería Electrónica, Automática y Comunicaciones]]></journal-title>
<abbrev-journal-title><![CDATA[EAC]]></abbrev-journal-title>
<issn>1815-5928</issn>
<publisher>
<publisher-name><![CDATA[Universidad Tecnológica de La Habana José Antonio Echeverría, Cujae]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1815-59282019000300039</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Iris Recognition in the Visible Spectrum Based on Eye Image Quality Evaluation]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Garea Llano]]></surname>
<given-names><![CDATA[Eduardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Osorio Roig]]></surname>
<given-names><![CDATA[Dailé]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morales Gonzáles-Quevedo]]></surname>
<given-names><![CDATA[Annette]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández-Hernández]]></surname>
<given-names><![CDATA[Osdel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro de Aplicaciones de Tecnologías de Avanzada  ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de La Habana  ]]></institution>
<addr-line><![CDATA[ La Habana]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<volume>40</volume>
<numero>3</numero>
<fpage>39</fpage>
<lpage>50</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1815-59282019000300039&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1815-59282019000300039&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1815-59282019000300039&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Video-based eye image acquisition in the visible spectrum for iris recognition has taken great importance in the current context of the extensive use of video surveillance cameras and mobile devices. This modality can provide more information from the video capture of the eye region, but it is essential that the images captured have a quality that allows an effective recognition process. In this work, an approach for video iris recognition in the visible spectrum is presented. It is based on a scheme whose novelty is in the possibility of evaluating the quality of the eye image simultaneously with the process of video capturing. A measure of image quality that takes into account the elements defined in the ISO / IEC 19794-6 2005 standard and its combination with automatic detection methods is proposed. The experiments developed on two international databases and own video database demonstrate the relevance of the proposal.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La adquisición de imágenes oculares basadas en video en el espectro visible para el reconocimiento del iris ha cobrado gran importancia en el contexto actual del uso extensivo de cámaras de video vigilancia y dispositivos móviles. Esta modalidad puede proporcionar más información de la región del ojo, pero es esencial que las imágenes capturadas tengan una calidad que permita un proceso de reconocimiento efectivo. En este trabajo, se presenta un enfoque para el reconocimiento de iris en video en el espectro visible. Se basa en un esquema cuya novedad está en la posibilidad de evaluar la calidad de la imagen del ojo simultáneamente con el proceso de captura de video. Se propone una medida de la calidad de imagen que toma en cuenta los elementos definidos en la norma ISO / IEC 19794-6 2005 y su combinación con los métodos de detección automática. Los experimentos desarrollados en dos bases de datos internacionales y una base de datos de video propia demuestran la relevancia de la propuesta.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Iris Recognition]]></kwd>
<kwd lng="en"><![CDATA[Quality Measure]]></kwd>
<kwd lng="en"><![CDATA[Video]]></kwd>
<kwd lng="es"><![CDATA[Reconocimiento]]></kwd>
<kwd lng="es"><![CDATA[Iris]]></kwd>
<kwd lng="es"><![CDATA[Medida de calidad]]></kwd>
<kwd lng="es"><![CDATA[Video]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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