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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12008/41811 How to cite
Title: Evaluation of a face recognition system performances variation on a citizen passports database
Authors: Preciozzi, Javier
Lecumberry, Federico
Fernández, Alicia
Berchesi, Sebastián
Di Martino, Luis
Lema, Gabriel
Type: Ponencia
Keywords: Database, Face Feature extraction, Aging, Face recognition, Lighting, Histograms
Descriptors: Procesamiento de Señales
Issue Date: 2014
Abstract: Face recognition systems (FRS) have been widely studied and the performances reported are very high in the standard databases used for comparison. In this work we present a FRS that achieves state of the art results in these databases and show its performance's variation when tested in a field trial using a citizen identification database. To accomplish this, a set of experiments are proposed. These include increasing the size of the database, using subsets that include a time difference of one to ten years between the query samples and those enrolled in the system and finally using different subsets of the same database. Discussion on these experiments and conclusions are presented.
Description: Trabajo presentado a 40th Latin American Computing Conference (CLEI), Montevideo, Uruguay, 2 15-19 set. 014,.pp. 1-6, doi: 10.1109/CLEI.2014.6965097.
Citation: Lema, G, Di Martino, L, Berchesi, S, Fernández, A, Lecumberry, F, Preciozzi, J. "Evaluation of a face recognition system performance's variation on a citizen passports database" Publicado en: Proceedings of the 40 th. Latin American Computing Conference (CLEI), Montevideo, Uruguay, 15-19 set. 2014, pp. 1-6, doi:10.1109/CLEI.2014.6965097.
Academic department: Procesamiento de Señales
Investigation group: Tratamiento de Imágenes
License: Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Appears in Collections:Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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