Abstract
Measuring real progress achieved with new research methods and pinpointing the unsolved problems is only possible within a well defined evaluation methodology. This point is even more crucial in the field of biometrics, where development and evaluation of new biometric techniques are challenging research areas. Such an evaluation methodology is developed and put in practice in the European Network of Excellence (NoE) BioSecure. Its key elements are: open-source software, publicly available biometric databases, well defined evaluation protocols, and additional information (such as How-to documents) that allow the reproducibility of the proposed benchmarking experiments. As of this writing, such a framework is available for eight biometric modalities: iris, fingerprint, online handwritten signature, hand geometry, speech, 2D and 3D face, and talking faces. In this chapter we first present the motivations that lead us to the proposed evaluation methodology. A brief description of the proposed evaluation tools follows. The multiple possibilities of how this evaluation methodology can be used are also described, and introduce the other chapters of this book that illustrate how the proposed benchmarking methodology can be put into practice.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
ALIZE: a free and open tool for speaker recognition. http://www.lia.univ-avignon.fr/heberges/ALIZE/.
E. Bailly-Baillière, S. Bengio, F. Bimbot, M. Hamouz, J. Kittler, J. Mariéthoz, J. Matas, K. Messer, V. Popovici, F. Porée, B. Ruiz, and J.-P. Thiran. The BANCA Database and Evaluation Protocol. In 4th International Conference on Audio-and Video-Based Biometric Person Authentication (AVBPA'03), volume 2688 of Lecture Notes in Computer Science, pages 625–638, Guildford, UK, January 2003 Springer.
BioSecure Network of Excellence. http://biosecure.info/.
D RMA database. http://www.sic.rma.ac.be/~beumier/DB/3d_rma.html.
J. G. Daugman. High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Patt. Ana. Mach. Intell., 15(11):1148–1161, 1993.
P. J. Flynn. Biometric databases. In A. Jain, P. Flynn, and A. Ross, editors, Handbook of Biometrics, pages 529–54Springer, 2008.
G. Fouquier, L. Likforman, J. Darbon, and B. Sankur. The Biosecure Geometry-based System for Hand Modality. In the Proceedings of 32nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), Honolulu, Hawai, USA, april 2007.
BioSecure Benchmarking Framework. http://share.int-evry.fr/svnview-eph/.
M. O Irfanoğlu, B. Gökberk, and L. Akarun. Shape-based Face Recognition Using Automatically Registered Facial Surfaces. In Proc. 17th International Conference on Pattern Recognition, Cambridge, UK, 2004.
BECARS Library and Tools for Speaker Verification. http://www.tsi.enst.fr/becars/index.php.
National Institute of Standards and Technology (NIST). http://www.itl.nist.gov/iad/894.03/fing/fing.html.
NIST Speaker Recognition Evaluations. http://www.nist.gov/speech/tests/spk.
J. Ortega-Garcia, J. Fierrez-Aguilar, D. Simon, M. F. J. Gonzalez, V. Espinosa, A. Satue, I. Hernaez, J. J. Igarza, C. Vivaracho, D. Escudero, and Q. I. Moro. MCYT baseline corpus: A bimodal biometric database. IEE Proceedings Vision, Image and Signal Processing, Special Issue on Biometrics on the Internet, 150(6):395–401, December 2003.
M. Rejman-Greene. Privacy issures in the application of biometrics: a european perspective. volume Chapter 1Springer, 2005.
S. Schimke, C. Vielhauer, and J. Dittmann. Using Adapted Levenshtein Distance for On-Line Signature Authentication. In Proceedings of the ICPR 2004, IEEE 17th International Conference on Pattern Recognition, ISBN 0-7695-2128-2, 2004.
M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71–86, 1991.
B. Ly Van, S. Garcia-Salicetti, and B. Dorizzi. On using the Viterbi Path along with HMM Likelihood Information for On-line Signature Verification. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, Special Issue on Recent Advances in Biometric Systems, 37(5):1237–1247, October 2007.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag London Limited
About this chapter
Cite this chapter
Petrovska-Delacrétaz, D., Mayoue, A., Dorizzi, B. (2009). The BioSecure Benchmarking Methodology for Biometric Performance Evaluation. In: Petrovska-Delacrétaz, D., Dorizzi, B., Chollet, G. (eds) Guide to Biometric Reference Systems and Performance Evaluation. Springer, London. https://doi.org/10.1007/978-1-84800-292-0_2
Download citation
DOI: https://doi.org/10.1007/978-1-84800-292-0_2
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-84800-291-3
Online ISBN: 978-1-84800-292-0
eBook Packages: Computer ScienceComputer Science (R0)