Título
Automated border control e-gates and facial recognition systems
Autor
José SANCHEZ DEL RIO SAEZ
Daniela Moctezuma
Cristina Conde
Isaac Martín
Enrique Cabello
Nivel de Acceso
Acceso Abierto
Identificador alterno
doi: https://doi.org/10.1016/j.cose.2016.07.001
Materias
Resumen o descripción
A fast automated biometric solution has been proposed to satisfy the future border control
needs of airports resulting from the rapid growth in the number of passengers worldwide.
Automated border control (ABC) systems handle the problems caused by this growth, such as
congestion at electronic gates (e-gates) or delays in the planned arrival schedules. Different
modalities, such as face, fingerprint, or iris recognition, will be used in most of the ABC systems
located at airports in the European/Schengen areas. Because facial recognition is the modality
that travelers consider most acceptable, it was decided to include this modality in all second
generation passports. Face recognition systems, installed in small kiosks inside the e-gates,
require high quality facial images to allow high performance and efficiency. Accurate face recognition
algorithms, which should be invariant to non-idealities, such as changes in pose and
expression, occlusions, and changes in lighting, are also required for these systems. In this
paper, a review of the most important face recognition algorithms described in the literature
that are invariant to these non-idealities and that can be used in ABC e-gates is presented. A
comparative analysis of the most common ABC e-gates located at the different airports is
provided. In addition, the results of an experimental evaluation of a face recognition system
when halogen, white LEDs, near infra-red, or fluorescence illumination was used, which was
conducted in order to determine which type of illumination is optimal for use in ABC e-gates,
are presented. To conclude, improvements that could be implemented in the near future in
ABC face recognition systems are described.
Editor
Elsevier
Fecha de publicación
septiembre de 2016
Tipo de publicación
Artículo
Versión de la publicación
Versión publicada
Recurso de información
Formato
application/pdf
Fuente
Computers
&
Security Volume 62, September 2016, Pages 49-72
Idioma
Inglés
Audiencia
Estudiantes
Investigadores
Maestros
Repositorio Orígen
Repositorio Institucional de CENTROGEO
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