Face images to be included into Machine Readable Travel Documents have to fulfill quality requirements defined by international ISO standards. The concept of quality in this context extends the common idea of image quality: usually a bad quality image presents visual defects such as blurring or noise while, according to ISO/ICAO standard, other factors could make a given sample a poor quality image (e.g., presence of dark glasses or mouth open). The verification of face image conformance to ISO/ICAO standards is nowadays carried out mostly by humans, through visual inspection, since a totally automatic evaluation is still not satisfactory. The objective of this work is to present the BioLab-ICAO framework, an evaluation benchmark which will be made available to the scientific community, designed to encourage the research on this topic; it consists of a large ground truth database, a well-defined testing protocol and baseline algorithms for image compliance verification.
M. Ferrara, A. Franco, D. Maio, D. Maltoni (2012). Face Image Conformance to ISO/ICAO standards in Machine Readable Travel Documents. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 7, 1204-1213 [10.1109/TIFS.2012.2198643].
Face Image Conformance to ISO/ICAO standards in Machine Readable Travel Documents
FERRARA, MATTEO;FRANCO, ANNALISA;MAIO, DARIO;MALTONI, DAVIDE
2012
Abstract
Face images to be included into Machine Readable Travel Documents have to fulfill quality requirements defined by international ISO standards. The concept of quality in this context extends the common idea of image quality: usually a bad quality image presents visual defects such as blurring or noise while, according to ISO/ICAO standard, other factors could make a given sample a poor quality image (e.g., presence of dark glasses or mouth open). The verification of face image conformance to ISO/ICAO standards is nowadays carried out mostly by humans, through visual inspection, since a totally automatic evaluation is still not satisfactory. The objective of this work is to present the BioLab-ICAO framework, an evaluation benchmark which will be made available to the scientific community, designed to encourage the research on this topic; it consists of a large ground truth database, a well-defined testing protocol and baseline algorithms for image compliance verification.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
