Abstract
This paper focuses on the requirements for face images to be used in Machine Readable Travel Documents, defined in the ISO/IEC 19794-5 standard. In particular an evaluation framework is proposed for testing software able to automatically verify the compliance of an image to the standard. The results obtained for thee commercial software are reported and compared.
This work was partially supported by CNIPA (Italian National Center for ICT in the Public Administration).
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References
Martinez, A.M., Benavente, R.: The AR Face Database, CVC Technical Report #24 (June 1998)
BSI-TR 03104, Technical Guideline for production, data acquisition, quality testing and transmission for passports - Annex 1 - Quality requirements for the acquisition and transmission of the facial image data as biometric feature for electronic identification documents (2007)
ISO International Standard ISO/IEC JTC 1/SC 37 N506, Text of FCD 19794-5, Biometric Data Interchange Formats – Part 5: Face Image Data (2004), http://isotc.iso.org
Cappelli, R., Maio, D., Maltoni, D., Wayman, J.L., Jain, A.K.: Performance Evaluation of Fingerprint Verification Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(1), 3–18 (2006)
Seidel, U.: Experiences with facial image standard compliance- Do we need to relax ISO 19794-5 tolerances?, E-Passport Interoperability Test Event, http://www.interoptest-berlin.de/reading_material.htm
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© 2008 Springer-Verlag Berlin Heidelberg
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Ferrara, M., Franco, A., Maltoni, D. (2008). Evaluating Systems Assessing Face-Image Compliance with ICAO/ISO Standards. In: Schouten, B., Juul, N.C., Drygajlo, A., Tistarelli, M. (eds) Biometrics and Identity Management. BioID 2008. Lecture Notes in Computer Science, vol 5372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89991-4_20
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DOI: https://doi.org/10.1007/978-3-540-89991-4_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89990-7
Online ISBN: 978-3-540-89991-4
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