• 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