Analysing facial regions for face recognition using forensic protocols

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dc.contributor.author Tomé González, Pedro
dc.contributor.author Vera-Rodríguez, Rubén
dc.contributor.author Fiérrez, Julián
dc.contributor.other UAM. Departamento de Tecnología Electrónica y de las Comunicaciones es_ES
dc.date.accessioned 2015-02-11T19:14:01Z
dc.date.available 2015-02-11T19:14:01Z
dc.date.issued 2013-08
dc.identifier.citation Highlights on Practical Applications of Agents and Multi-Agent Systems: International Workshops of PAAMS. Communications in Computer and Information Science, Volumen 365. Springer, 2013. 223-230. en_US
dc.identifier.isbn 978-3-642-38060-0 (print) en_US
dc.identifier.isbn 978-3-642-38061-7 (online) en_US
dc.identifier.issn 1865-0929
dc.identifier.uri http://hdl.handle.net/10486/663763
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-38061-7_22 en_US
dc.description Proceedings of International Workshops of Practical Applications of Agents and Multi-Agent Systems (PAAMS), held in 2013, Salamanca (Spain). en_US
dc.description.abstract This paper focuses on the analysis of automatic facial regions extraction for face recognition applications. Traditional face recognition systems compare just full face images in order to estimate the identity, here different facial areas of face images obtained from both uncontrolled and controlled environments are extracted from a person image. In this work, we study and compare the discriminative capabilities of 15 facial regions considered in forensic practice such as full face, nose, eye, eyebrow, mouth, etc. This study is of interest to biometrics because a more robust general-purpose face recognition system can be built by fusing the similarity scores obtained from the comparison of different individual parts of the face. To analyse the discriminative power of each facial region, we have randomly defined three population subsets of 200 European subjects (male, female and mixed) from MORPH database. First facial landmarks are automatically located, checked and corrected and then 15 forensic facial regions are extracted and considered for the study. In all cases, the performance of the full face (faceISOV region) is higher than the one achieved for the rest of facial regions. It is very interesting to note that the nose region has a very significant discrimination efficiency by itself and similar to the full face performance. en_US
dc.description.sponsorship This work has been partially supported by contract with Spanish Guardia Civil and projects BBfor2 (FP7-ITN-238803), Bio-Challenge (TEC2009-11186), Bio-Shield (TEC2012-34881), Contexts (S2009/TIC-1485), TeraSense (CSD2008-00068) and "Cátedra UAM-Telefónica". en_US
dc.format.extent 10 pág. es_ES
dc.format.mimetype application/pdf en
dc.language.iso eng en
dc.publisher Springer Berlin Heidelberg en_US
dc.relation.ispartof Communications in Computer and Information Science en_US
dc.rights © Springer-Verlag Berlin Heidelberg 2013 en_US
dc.subject.other Forensic en_US
dc.subject.other Biometrics en_US
dc.subject.other Face recognition en_US
dc.subject.other Facial regions en_US
dc.subject.other Forensic casework en_US
dc.title Analysing facial regions for face recognition using forensic protocols en_US
dc.type conferenceObject en
dc.type bookPart en
dc.subject.eciencia Telecomunicaciones es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/978-3-642-38061-7_22
dc.identifier.doi 10.1007/978-3-642-38061-7_22
dc.identifier.publicationfirstpage 223
dc.identifier.publicationlastpage 230
dc.identifier.publicationvolume 365
dc.relation.eventdate May 22-24, 2013 en_US
dc.relation.eventplace Salamanca (Spain) en_US
dc.relation.eventtitle International Workshops during the 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2013 en_US
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/238803 en
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1485/CONTEXTS es_ES
dc.type.version info:eu-repo/semantics/acceptedVersion en
dc.contributor.group Análisis y Tratamiento de Voz y Señales Biométricas (ING EPS-002) es_ES
dc.rights.accessRights openAccess en
dc.authorUAM Fierrez Aguilar, Julián (261834)
dc.authorUAM Tome González, Pedro (263802)


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