article

Rapid and brief communication: A clustering method for automatic biometric template selection

Authors:

Alessandra Lumini,

Loris NanniAuthors Info & Claims

Pattern Recognition, Volume 39, Issue 3

Pages 495 - 497

https://doi.org/10.1016/j.patcog.2005.11.004

Published: 01 March 2006 Publication History

Abstract

The problem addressed in this paper is the template selection and update in biometrics based on clustering. Template selection is a reliable method to reduce the number of templates used in a biometric system to account for variations observed in a person's biometric data. An efficient method based on clustering with automatic selection of the number of clusters is proposed in this work for finding subgroups of similar templates which are used for prototype selection. Experimental results confirm the advantage of the new method and the importance of adopting a procedure to perform template selection.

References

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Jiang, X. and Ser, W., Online fingerprint template improvement. IEEE Trans. Pattern Anal. Mach. Intell. v24 i8. 1121-1126.

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Uludag, U., Ross, A. and Jain, A., Biometric template selection and update: a case study in fingerprints. Pattern Recognition. v37. 1533-1542.

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Bezdek, J.C., Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum, New York.

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Hartigan, J., Clustering Algorithms. Wiley, New York.

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L. Nanni, A. Lumini, Ensemble of Parzen window classifiers for on-line signature verification, Neurocomputing (2005), to appear.

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Sinanaj LHaeri HMaddipatla SGao LPakala RKathiriya NBeal CBrennan SChen CJerath K(2022)Granulation of Large Temporal Databases: An Allan Variance ApproachSN Computer Science10.1007/s42979-022-01397-24:1Online publication date: 15-Oct-2022
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Ren YLi QLiu WLi LGuan W(2022)Semantics characterization for eye shapes based on directional triangle-area curve clusteringMultimedia Tools and Applications10.1007/s11042-019-7659-478:18(25373-25406)Online publication date: 10-Mar-2022
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Orrù GMarcialis GRoli F(2020)A novel classification-selection approach for the self updating of template-based face recognition systemsPattern Recognition10.1016/j.patcog.2019.107121100:COnline publication date: 1-Apr-2020
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Rapid and brief communication: A clustering method for automatic biometric template selection
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
      2. Unsupervised learning
    2. Machine learning algorithms

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Published In

Pattern Recognition Volume 39, Issue 3

March, 2006

182 pages

ISSN:0031-3203

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Elsevier Science Inc.

United States

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Published: 01 March 2006

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Sinanaj LHaeri HMaddipatla SGao LPakala RKathiriya NBeal CBrennan SChen CJerath K(2022)Granulation of Large Temporal Databases: An Allan Variance ApproachSN Computer Science10.1007/s42979-022-01397-24:1Online publication date: 15-Oct-2022
https://dl.acm.org/doi/10.1007/s42979-022-01397-2
Ren YLi QLiu WLi LGuan W(2022)Semantics characterization for eye shapes based on directional triangle-area curve clusteringMultimedia Tools and Applications10.1007/s11042-019-7659-478:18(25373-25406)Online publication date: 10-Mar-2022
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Orrù GMarcialis GRoli F(2020)A novel classification-selection approach for the self updating of template-based face recognition systemsPattern Recognition10.1016/j.patcog.2019.107121100:COnline publication date: 1-Apr-2020
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Pisani PMhenni AGiot RCherrier EPoh NFerreira de Carvalho ARosenberger CAmara N(2019)Adaptive Biometric SystemsACM Computing Surveys10.1145/334425552:5(1-38)Online publication date: 13-Sep-2019
https://dl.acm.org/doi/10.1145/3344255
Roy AMemon NRoss A(2019)MasterPrint Attack Resistance: A Maximum Cover Based Approach for Automatic Fingerprint Template Selection2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS)10.1109/BTAS46853.2019.9186010(1-9)Online publication date: 23-Sep-2019
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Mhenni ACherrier ERosenberger CEssoukri Ben Amara N(2019)Double serial adaptation mechanism for keystroke dynamics authentication based on a single passwordComputers and Security10.1016/j.cose.2019.02.00283:C(151-166)Online publication date: 1-Jun-2019
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Akinyelu AEzugwu AAdewumi A(2019)Ant colony optimization edge selection for support vector machine speed optimizationNeural Computing and Applications10.1007/s00521-019-04633-832:15(11385-11417)Online publication date: 4-Dec-2019
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Lopes GPinto JCardoso J(2019)Don’t You Forget About Me: A Study on Long-Term Performance in ECG BiometricsPattern Recognition and Image Analysis10.1007/978-3-030-31321-0_4(38-49)Online publication date: 1-Jul-2019
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Dif NElberrichi Z(2018)A Multi-Verse Optimizer Approach for Instance Selection and Optimizing 1-NN AlgorithmInternational Journal of Strategic Information Technology and Applications10.4018/IJSITA.20180401039:2(35-49)Online publication date: 1-Apr-2018
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Olvera-López JCarrasco-Ochoa JMartínez-Trinidad JPinto DSingh VVillavicencio AMayr-Schlegel PStamatatos E(2018)Accurate and fast prototype selection based on the notion of relevant and border prototypesJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-16947834:5(2923-2934)Online publication date: 1-Jan-2018
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