Abstract
Many existing biometric systems collect ancillary information like gender, age, height, and eye color from the users during enrollment. However, only the primary biometric identifier (fingerprint, face, hand-geometry, etc.) is used for recognition and the ancillary information is rarely utilized. We propose the utilization of “soft” biometric traits like gender, height, weight, age, and ethnicity to complement the identity information provided by the primary biometric identifiers. Although soft biometric characteristics lack the distinctiveness and permanence to identify an individual uniquely and reliably, they provide some evidence about the user identity that could be beneficial. This paper presents a framework for integrating the ancillary information with the output of a primary biometric system. Experiments conducted on a database of 263 users show that the recognition performance of a fingerprint system can be improved significantly (≈ 5%) by using additional user information like gender, ethnicity, and height.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jain, A.K., Bolle, R., Pankanti, S. (eds.): Biometrics: Personal Identification in Networked Security. Kluwer Academic Publishers, Dordrecht (1999)
Hong, L., Jain, A.K., Pankanti, S.: Can Multibiometrics Improve Performance? In: Proceedings of IEEE Workshop on Automatic Identification Advanced Technologies, New Jersey, U. S.A, pp. 59–64 (1999)
Bertillon, A.: Signaletic Instructions including the theory and practice of Anthropometrical Identification, R.W. McClaughry Translation. The Werner Company (1896)
Heckathorn, D.D., Broadhead, R.S., Sergeyev, B.: A Methodology for Reducing Respondent Duplication and Impersonation in Samples of Hidden Populations. In: Annual Meeting of the American Sociological Association, Toronto, Canada (1997)
Wayman, J. L.: Large-scale Civilian Biometric Systems - Issues and Feasibility. In: Proceedings of Card Tech / Secur Tech ID (1997)
Givens, G., Beveridge, J.R., Draper, B.A., Bolme, D.: A Statistical Assessment of Subject Factors in the PCA Recognition of Human Subjects. In: Proceedings of CVPR Workshop: Statistical Analysis in Computer Vision (2003)
Newham, E.: The Biometrics Report. SJB Services (1995)
Jain, A.K., Lu, X.: Ethnicity Identification from Face Images. In: Proceedings of SPIE International Symposium on Defense and Security: Biometric Technology for Human Identification (2004) (to appear)
Jain, A.K., Hong, L., Pankanti, S., Bolle, R.: An identity authentication system using fingerprints. Proceedings of the IEEE 85, 1365–1388 (1997)
Kim, J.S., et al.: Object Extraction for Superimposition and Height Measurement. In: Proceedings of Eighth Korea-Japan Joint Workshop on Frontiers of Computer Vision (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jain, A.K., Dass, S.C., Nandakumar, K. (2004). Soft Biometric Traits for Personal Recognition Systems. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_99
Download citation
DOI: https://doi.org/10.1007/978-3-540-25948-0_99
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22146-3
Online ISBN: 978-3-540-25948-0
eBook Packages: Springer Book Archive