@InProceedings{ParenteAndBorMotBat:2016:AsFaIm,
               author = "Parente, Rodrigo Loureiro and Andreza, Igor Lucena Peixoto and 
                         Borges, Erick Vagner Cabral de Lima and Mota, Rajiv Albino 
                         Torre{\~a}o and Batista, Leonardo Vidal",
          affiliation = "{Federal University of Para{\'{\i}}ba} and {VSoft Tecnologia} 
                         and {Vsoft Tecnologia} and {Vsoft Tecnologia} and {Federal 
                         University of Para{\'{\i}}ba}",
                title = "Assessing Facial Image Accordance to ISO/ICAO Requirements",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "Face Image quality, ICAO, ISO/IEC 19794-5, Pixelation, Hair across 
                         eyes, Veil Over Face, Mouth Opened.",
             abstract = "Face has been adopted as default biometric validation method and 
                         the International Standard Organization (ISO) proposed a standard 
                         which states constraints for facial image. This paper presents 
                         methods for evaluating face image conformance to the following 
                         ISO/ICAO requirements: pixelation, hair across eyes, veil over 
                         face and mouth opened. Each requirement is individually evaluated. 
                         The algorithm for analyzing pixelation achieved an equal error 
                         rate (EER) equals to 1.7\%, result very close to state-of-the-art 
                         (0.0\% EER). The {"}Hair Across Eyes{"} analysis method achieved 
                         an EER equals to 11.9\% which surpasses the best state-of-art 
                         result (12.4\%). The algorithm for evaluating {"}Veil Over 
                         Face{"} requirement achieved EER equals to 1.2\% which also 
                         surpass the best state-of-art result (2.5\%). The {"}Mouth 
                         Opened{"} requirement achieved an EER equals to 4.20\%, a result 
                         compatible with state-of-art rates for this requirement 
                         (3.3\%).).",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.033",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.033",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M5J492",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M5J492",
           targetfile = "PID4371841.pdf",
        urlaccessdate = "2024, May 03"
}