Optimizing the selection of a biometric template from a sequence
The problem of choosing the best biometric template from a group constructed based on a sequence of registered images is addressed. A method based on the analysis of the matrix of distances of a group of templates is proposed. A comparison with the standard approaches using the quality indices of th...
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| Veröffentlicht in: | Journal of computer & systems sciences international Jg. 54; H. 3; S. 399 - 405 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Moscow
Pleiades Publishing
01.05.2015
Springer Nature B.V |
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| ISSN: | 1064-2307, 1555-6530 |
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| Abstract | The problem of choosing the best biometric template from a group constructed based on a sequence of registered images is addressed. A method based on the analysis of the matrix of distances of a group of templates is proposed. A comparison with the standard approaches using the quality indices of the initial image is performed. It is specified that the quality indices of the image are developed for the problem of rejecting poor images and little suit the problem of choosing the best image. The computer experiments were conducted based on several databases available in open source with more than 70000 images. The tests have shown that the proposed method provides a slightly better quality of the chosen templates. Note that the method does not require the development of additional quality measures and employs the calculations of the distance available. |
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| AbstractList | The problem of choosing the best biometric template from a group constructed based on a sequence of registered images is addressed. A method based on the analysis of the matrix of distances of a group of templates is proposed. A comparison with the standard approaches using the quality indices of the initial image is performed. It is specified that the quality indices of the image are developed for the problem of rejecting poor images and little suit the problem of choosing the best image. The computer experiments were conducted based on several databases available in open source with more than 70000 images. The tests have shown that the proposed method provides a slightly better quality of the chosen templates. Note that the method does not require the development of additional quality measures and employs the calculations of the distance available. |
| Author | Novik, V. P. Matveev, I. A. Kovkov, D. V. Gneushev, A. N. |
| Author_xml | – sequence: 1 givenname: A. N. surname: Gneushev fullname: Gneushev, A. N. organization: Computer Center, Russian Academy of Sciences – sequence: 2 givenname: D. V. surname: Kovkov fullname: Kovkov, D. V. organization: Computer Center, Russian Academy of Sciences – sequence: 3 givenname: I. A. surname: Matveev fullname: Matveev, I. A. email: matveev@ccas.ru organization: Computer Center, Russian Academy of Sciences – sequence: 4 givenname: V. P. surname: Novik fullname: Novik, V. P. organization: Computer Center, Russian Academy of Sciences |
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| Keywords | Quality Index Iris Image Biometric Template Iris Recognition System Science International |
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Math.1996531190885.90081 – reference: BandiA LThotakuraV PRaviSIdentity recognizing using iris scan with multiple frames of videoInt. J. Comput. Sci. Eng.201243388391 – reference: University of BathIris Image Database2005 – reference: National Institute of Standards and Technology, Iris Quality Calibration and Evaluation. http://www.nist.gov/itl/iad/ig/irexii.cfm – reference: ZuoJSchmidN AAn automatic algorithm for evaluating the precision of iris segmentationProceedings of the 2nd International Conference on Biometrics: Theory, Applications and Systems2008 – reference: Chinese Academy of Sciences Institute of AutomationIris Image Database20053 – reference: FeddaouiNMahersiaHHamrouniKChettyGYangJImproving iris recognition performance using quality measuresAdvanced Biometric Technologies2011 – reference: TizikA PTsurkovV IIterative functional modification method for solving a transportation problemAutom. Remote Control20127313410.1134/S00051179120101091307.901033202173 – reference: Gan”kinK AGneushevA VMatveevI AIris image segmentation Based on approximate methods with subsequent refinementsJ. Comput. Syst. Sci. Int.20145322410.1134/S1064230714020099 – reference: ZhuX-DLiuY-NMingXCuiQ-LA quality evaluation method of iris images Sequence based on wavelet coefficients in “Region of Interest”,”Proceedings of the 4th International Conference on Computer and Information Technology20042427 – reference: National Institute of Standards and Technology. 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Sci.20127701193201 – reference: PillaiJ KPatelV MChellappaRRathaN KSecure and robust iris recognition using random projections and sparse representationsIEEE Trans. Pattern Anal. Machine Intelligence201131877189310.1109/TPAMI.2011.34 – reference: BowyerK WHollingsworthKFlynnP JHandbook of Iris Recognition2012HeidelbergSpringer – reference: MironovA ATsurkovV IClass of distributed problems with a minimax criterionDokl. Akad. Nauk1994336351283459 – volume-title: Handbook of Iris Recognition year: 2012 ident: 6527_CR1 – volume-title: Iris Image Database year: 2005 ident: 6527_CR22 – ident: 6527_CR12 – volume: 53 start-page: 224 year: 2014 ident: 6527_CR3 publication-title: J. Comput. Syst. Sci. Int. doi: 10.1134/S1064230714020099 – volume: 7701 start-page: 193 year: 2012 ident: 6527_CR6 publication-title: Lect. Notes Comp. Sci. doi: 10.1007/978-3-642-35136-5_24 – volume: 73 start-page: 134 year: 2012 ident: 6527_CR18 publication-title: Autom. 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B: Cybernet. doi: 10.1109/TSMCB.2008.922059 – start-page: 445 volume-title: Proceedings of the 24th Annual Meeting of the Gesellschaft fur Klassification year: 1999 ident: 6527_CR14 – volume: 53 start-page: 119 year: 1996 ident: 6527_CR19 publication-title: Dokl. Math. – volume: 64 start-page: 374 year: 2001 ident: 6527_CR21 publication-title: Dokl. Math. – ident: 6527_CR24 – start-page: 271 volume-title: Proceedings of the 5th International Conference of International Association for Pattern Recognition (IAPR) on Biometrics year: 2012 ident: 6527_CR7 – volume: 4 start-page: 388 issue: 3 year: 2012 ident: 6527_CR8 publication-title: Int. J. Comput. Sci. Eng. – start-page: 1112 volume-title: Proceedings of the 3rd IAPR/IEEE International Conference on Biometrics year: 2009 ident: 6527_CR9 – volume-title: Comparative Biometric Testing, Round 7, Public Report year: 2009 ident: 6527_CR2 – volume: 39 start-page: 437 year: 2000 ident: 6527_CR11 publication-title: J. Comput. Syst. Sci. Int. – volume: 3 start-page: 1877 year: 2011 ident: 6527_CR5 publication-title: IEEE Trans. Pattern Anal. Machine Intelligence doi: 10.1109/TPAMI.2011.34 – volume: 336 start-page: 35 year: 1994 ident: 6527_CR17 publication-title: Dokl. Akad. Nauk |
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