Understanding the discrimination power of facial regions in forensic casework
Entidad
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesEditor
IEEEFecha de edición
2013-08Cita
10.1109/IWBF.2013.6547306
2013 IEEE International Workshop on Biometrics and Forensics (IWBF). IEEE, 2013
ISBN
978-1-4673-4987-1DOI
10.1109/IWBF.2013.6547306Financiado por
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”.Proyecto
info:eu-repo/grantAgreement/EC/FP7/238803; Comunidad de Madrid. S2009/TIC-1485/CONTEXTSVersión del editor
http://dx.doi.org/10.1109/IWBF.2013.6547306Materias
Biometrics; Face recognition; Facial regions; Forensic casework; Forensic; TelecomunicacionesNota
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. P. Tomé, L. Blázquez, R. Vera-Rodríguez, J. Fiérrez, J. Ortega-García, N. Expósito, P. Lestón, "Understanding the discrimination power of facial regions in forensic casework" in International Workshop on Biometrics and Forensics (IWBF), Lisbon (Portugal), 2013, 1-4.Derechos
© 2013 IEEEResumen
This paper focuses on automatic facial regions extraction for forensic applications. Forensic examiners compare different facial areas of face images obtained from both uncontrolled and controlled environments taken from the suspect. 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 useful because it can statistically support the current practice of forensic facial comparison. It is also 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 discrimination 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.
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Google Scholar:Tomé González, Pedro
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Blázquez Pérez, Luis
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Vera Rodríguez, Rubén
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Fiérrez Aguilar, Julián
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Ortega García, Javier
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Expósito, Nicomedes
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Lestón, Patricio
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