Quality-driven and real-time iris recognition from close-up eye videos
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s11760-014-0720-x.pdf
Reference26 articles.
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3. Costa Filho, C., Pinheiro, C., Costa, M., Albuquerque Pereira, W.: Applying a novelty filter as a matching criterion to iris recognition for binary and real-valued feature vectors. Signal Image Video Process. 7(2), 287–296 (2013). doi: 10.1007/s11760-011-0237-5 .
4. Daugman, J.: How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14(1), 21–30 (2004). doi: 10.1109/TCSVT.2003.818350
5. Desbouvries, F., Pieczynski, W.: Triplet Markov models and Kalman filtering. Comptes Rendus de l’Académie des Sciences-Mathématique-Série I 336(8), 667–670 (2003)
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