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Informatika i Ee Primeneniya [Informatics and its Applications], 2010, Volume 4, Issue 1, Pages 65–73
(Mi ia19)
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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
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.
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
Linking options:
https://www.mathnet.ru/eng/ia19 https://www.mathnet.ru/eng/ia/v4/i1/p65
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Statistics & downloads: |
Abstract page: | 315 | Full-text PDF : | 128 | References: | 52 | First page: | 1 |
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