Abstract
Biometrics, the computer-based validation of persons’ identity, is becoming more and more essential due to the increasing demand for high-security systems. A biometric system testifies the authenticity of a specific physiological or behavioral characteristic possessed by a user. New requirements over actual biometric systems as robustness, higher recognition rates, tolerance for imprecision and uncertainty, and flexibility call for the use of new computing technologies. In this context soft-computing is increasingly being used in the development of biometric applications. Soft-Biometrics correspond to a new emerging paradigm that consists in the use of soft-computing technologies for the development of biometric applications. The aim of this paper is to motivate discussions on application of soft-computing approaches in specific biometric measurements. The feasibility of soft-computing as a tool-set for biometric applications should be investigated.
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.
Rem.: The presentation of two 100% identical feature sets indicates fraud.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Elsevier Advanced Technology: Biometrics technology today (01/1997-02/2000)
Newham, E., Bunney, C., C. Mearns: Biometrics report (1999)
Tele Trust— AG 6: Biometrische Identifikation— Bewertungskriterien zur Vergleichbarkeit biometrischer Verfahren (1998)
Schneider, J., Franke, K., Nickolay, B.: Konzeptstudie — Biometrische Authentifikation. Technical report, Fraunhofer IPK Berlin (2000)
Leclerc, F., Plamondon, R.: Automatic signature verification: the state of the art-1989-1993. International Journal of Pattern Recognition and Artificial Intelligence 8 (1994) 643–660
Yang, X., Furuhashi, T., Obata, K., Uchikawa, Y.: Constructing a high performance signature verification system using a GA method. In: Proceedings 2nd New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, Dunedin, New Zealand (1995) 170–173
Franke, K., Köppen, M., Nickolay, B., Unger, S.: Machbarkeits-und Konzeptstudie Automaisches System zur Unterschriftenverifikation. Technical report, Fraunhofer IPK Berlin (1996)
Franke, K., Köppen, M.: A computer-based system to support forensic studies on handwritten documents. International Journal on Document Analysis and Recognition 3 (2001) 218–231
Franke, K., Köppen, M.: Towards an universal approach to background removal in images of bankchecks. In: Proceedings 6th International Workshop on Frontiers in Handwriting Recognition (IWFHR), Tajon, Korea (1998)
Kosko, B.: Fuzzy Engineering. Prentice Hall Internationall, Inc. (1997)
Franke, K., Zhang, Y.N., Köppen, M.: (Static signature verification employing a kosko-neuro-fuzzy approach) submitted to the International Conference on Fuzzy Systems (AFSS) 2002.
Grabisch, M., Nicolas, J.M.: Classification by fuzzy integral: Performance and tests. Fuzzy Sets and Systems 65 (1994) 255–271
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Franke, K., Ruiz-del-Solar, J. (2002). Soft-Biometrics: Soft-Computing Technologies for Biometric-Applications. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_24
Download citation
DOI: https://doi.org/10.1007/3-540-45631-7_24
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43150-3
Online ISBN: 978-3-540-45631-5
eBook Packages: Springer Book Archive