DocumentCode :
162612
Title :
Evaluation of a face recognition system performance´s variation on a citizen passports database
Author :
Lema, Gabriel ; Di Martino, Luis ; Berchesi, Sebastian ; Fernandez, Alicia ; Lecumberry, Federico ; Preciozzi, Javier
Author_Institution :
Fac. de Ing., Univ. de la Republica, Montevideo, Uruguay
fYear :
2014
fDate :
15-19 Sept. 2014
Firstpage :
1
Lastpage :
6
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.
Keywords :
face recognition; government data processing; visual databases; FRS; citizen identification database; citizen passport database; face recognition system; query samples; system performance variation; Aging; Databases; Face; Face recognition; Feature extraction; Histograms; Lighting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Conference (CLEI), 2014 XL Latin American
Conference_Location :
Montevideo
Type :
conf
DOI :
10.1109/CLEI.2014.6965097
Filename :
6965097
Link To Document :
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