Identification using face regions: Application and assessment in forensic scenarios
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
Elsevier B.V.Date
2013-12-10Citation
10.1016/j.forsciint.2013.08.020
Forensic Science International 233.1-3 (2013): 75 – 83
ISSN
0379-0738 (print); 1872-6283 (online)DOI
10.1016/j.forsciint.2013.08.020Editor's Version
http://dx.doi.org/10.1016/j.forsciint.2013.08.020Subjects
Face recognition; Facial components; Facial regions; Forensics; Primary biometrics; TelecomunicacionesNote
This is the author’s version of a work that was accepted for publication in Forensic Science International. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Forensic Science International, 23, 1-3, (2013) DOI: 10.1016/j.forsciint.2013.08.020Rights
© 2013 Elsevier B.V. All rights reservedEsta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional.
Abstract
This paper reports an exhaustive analysis of the discriminative power of the different regions of the human face on various forensic scenarios. In practice, when forensic examiners compare two face images, they focus their attention not only on the overall similarity of the two faces. They carry out an exhaustive morphological comparison region by region (e.g., nose, mouth, eyebrows, etc.). In this scenario it is very important to know based on scientific methods to what extent each facial region can help in identifying a person. This knowledge obtained using quantitative and statical methods on given populations can then be used by the examiner to support or tune his observations. In order to generate such scientific knowledge useful for the expert, several methodologies are compared, such as manual and automatic facial landmarks extraction, different facial regions extractors, and various distances between the subject and the acquisition camera. Also, three scenarios of interest for forensics are considered comparing mugshot and Closed-Circuit TeleVision (CCTV) face images using MORPH and SCface databases. One of the findings is that depending of the acquisition distances, the discriminative power of the facial regions change, having in some cases better performance than the full face.
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Google Scholar:Tomé González, Pedro
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Fiérrez Aguilar, Julián
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Vera Rodríguez, Rubén
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Ramos Castro, Daniel
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