Abstract
The problem of biometric template representativeness has recently attracted much attention with the introduction of several template update methods. Automatic template update methods adapt themselves to the intra-class variations of the input data. However, it is possible to hypothesize that the effect of template updating may not be the same for all the clients due to different characteristics of clients present in the biometric database. The goal of this paper is to investigate this hypothesis by explicitly partitioning clients into different groups of the “Doddington’s zoo” as a function of their “intrinsic” characteristics, and studying the effect of state of art template “self update” procedure on these different groups. Experimental evaluation on Equinox database with a case study on face verification system based on EBGM algorithm shows the strong evidence of non-uniform update effects on different clients classes and suggest to modify the update procedures according to the client’s characteristics.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Roli, F., Didaci, L., Marcialis, G.L.: Adaptative Biometric Systems that Can Improve with Use. In: Ratha, N., Govindaraju, V. (eds.) Advances in Biometrics: Sensors, Systems and Algorithms, pp. 447–471. Springer, Heidelberg (2008)
Jain, A.K., Flynn, P., Ross, A.: Handbook of Biometrics. Springer, New York (2007)
Uludag, U., Ross, A., Jain, A.K.: Biometric template selection and update: a case study in fingerprints. Pattern Recognition 37(7), 1533–1542 (2004)
Jiang, X., Ser, W.: Online Fingerprint Template Improvement. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(8), 1121–1126 (2002)
Ryu, C., Kim, H., Jain, A.K.: Template Adaptation based Fingerprint Verification. In: 18th ICPR 2006, vol. 4, pp. 582–585. IEEE Computer Society, Los Alamitos (2006)
Roli, F., Marcialis, G.L.: Semi-supervised PCA-based face recognition using self-training. In: Yeung, D.-Y., Kwok, J.T., Fred, A., Roli, F., de Ridder, D. (eds.) SSPR 2006 and SPR 2006. LNCS, vol. 4109, pp. 560–568. Springer, Heidelberg (2006)
Liu, X., Chen, T.H., Thornton, S.M.: Eigenspace updating for non-stationary process and its application to face recognition. Pattern Recognition, 1945–1959 (2003)
Roli, F., Didaci, L., Marcialis, G.L.: Template co-update in multimodal biometric system. In: Lee, S.-W., Li, S.Z. (eds.) ICB 2007. LNCS, vol. 4642, pp. 1194–1202. Springer, Heidelberg (2007)
Rattani, A., Marcialis, G.L., Roli, F.: Capturing large intra-class variations of biometric data by template co-updating. In: IEEE Workshop on Biometrics, International Conference on Vision and Pattern Recognition, Anchorage, Alaska, USA (2008)
Marcialis, G.L., Rattani, A., Roli, F.: Biometric template update: an experimental investigation on the relationship between update errors and performance degradation in face verification. In: da Vitoria Lobo, N., Kasparis, T., Roli, F., Kwok, J.T., Georgiopoulos, M., Anagnostopoulos, G.C., Loog, M. (eds.) S+SSPR 2008. LNCS, vol. 5342, pp. 684–693. Springer, Heidelberg (2008)
Doddington, G., Liggett, W., Martin, A., Przybocki, M., Reynolds, D.: Sheep, goats, lambs and wolves: A statistical analysis of speaker performance, NIST 1998 speaker recognition evaluation. In: Proceedings of ICSLP 1998 (1998)
Wiskott, L., Fellows, J.-M., Kruger, N., von der Malsburg, C.: Face Recognition by elastic bunch graph matching, Tech. Report IR-INI 96-08 (1996)
Poh, N., Kittler, J.: A Methodology for Separating Sheep from Goats for Controlled Enrollment and Multimodal Fusion. In: 6th IEEE Biometric Symposium, Tampa, Florida, USA (2008)
Micklin, A., Watson, C., Ulery, B.: The Myth of Goats: how many people have fingerprints that are hard to match?, Tech. Rep. NISTIR 7271, NIST (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rattani, A., Marcialis, G.L., Roli, F. (2009). An Experimental Analysis of the Relationship between Biometric Template Update and the Doddington’s Zoo: A Case Study in Face Verification. In: Foggia, P., Sansone, C., Vento, M. (eds) Image Analysis and Processing – ICIAP 2009. ICIAP 2009. Lecture Notes in Computer Science, vol 5716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04146-4_47
Download citation
DOI: https://doi.org/10.1007/978-3-642-04146-4_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04145-7
Online ISBN: 978-3-642-04146-4
eBook Packages: Computer ScienceComputer Science (R0)
