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Informatika i Ee Primeneniya [Informatics and its Applications], 2010, Volume 4, Issue 1, Pages 65–73 (Mi ia19)  

Automated quality testing of digital imagery for personal documents

S. L. Karateev, I. V. Beketova, M. V. Ososkov, V. A. Knyaz, Yu. V. Vizilter, A. V. Bondarenko, S. Yu. Zheltov

State Research Institute of Aviation Systems
References:
Abstract: The software-hardware system for digital face imagery acquisition and testing for requirements of ISO/IEC FCD 19794-5 standard is described. System contains the following algorithmic modules: face detector; color and intensity characteristics estimator; opened/closed eyes detector; glasses detector, reflexes, shines, and shadows detector; face features detector (nose, brows, mouth); face slope/rotation detector. The precision of face orientation estimation based on monocular digital imagery is addressed. The approach for precision estimation is developed based on comparison of synthesized facial two-dimensional images and scanned face three-dimensional model.
Keywords: biometrics; personal documents; face imagery; face detection; boosting; three-dimensional reconstruction; three-dimensional modeling.
Document Type: Article
Language: Russian
Citation: S. L. Karateev, I. V. Beketova, M. V. Ososkov, V. A. Knyaz, Yu. V. Vizilter, A. V. Bondarenko, S. Yu. Zheltov, “Automated quality testing of digital imagery for personal documents”, Inform. Primen., 4:1 (2010), 65–73
Citation in format AMSBIB
\Bibitem{KarBekOso10}
\by S.~L.~Karateev, I.~V.~Beketova, M.~V.~Ososkov, V.~A.~Knyaz, Yu.~V.~Vizilter, A.~V.~Bondarenko, S.~Yu.~Zheltov
\paper Automated quality testing of digital imagery for personal documents
\jour Inform. Primen.
\yr 2010
\vol 4
\issue 1
\pages 65--73
\mathnet{http://mi.mathnet.ru/ia19}
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  • https://www.mathnet.ru/eng/ia19
  • https://www.mathnet.ru/eng/ia/v4/i1/p65
  • Citing articles in Google Scholar: Russian citations, English citations
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    Информатика и её применения
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    References:52
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