Synonyms
Biometric Engines
Definition
Biometric algorithms are automated methods that enable a biometric system to recognize an individual by his or her anatomical/behavioral traits [1]. They consist of a sequence of automated operations performed by the system to verify or identify its ownership. These operations include quality assessment, enhancement, feature extraction, classification/indexing, matching and fusion, as well as compression algorithms, often used to reduce storage space and bandwidth.
Introduction
Biometric recognition is achieved by comparing the acquired biometric sample (the “query”) with one or more biometric samples that have been captured previously and stored in the system database (the “reference” or “gallery”). The process of creating the database is called enrollment. The process of comparing samples is called verification if the query comes along with a claimed identity (in this case the “query” is compared to the biometric data of the claimed identity) or...
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
References
A. Jain, A. Ross, S. Prabhakar, An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1), 4–20 (2004)
R. Duda, P. Hart, D. Stork, Pattern Classification, 2nd edn. (Wiley, New York, 2000)
C. Brislawn, The FBI fingerprint image compression specification, in Wavelet Image and Video Compression, ed. by P. Topiwala (Kluwer Academic, Boston, 1998), pp. 271–288
C. Brislawn, M. Quirk, Image compression with the JPEG-2000 standard, in Encyclopedia of Optical Engineering, ed. by R. Driggers (Marcel Dekker, New York, 2003), pp. 780–785
INCITS Biometric Sample Quality Standard Draft, M1/06–0948 (2006), http://www.incits.org/tc_home/m1htm/2006docs/m1060948.pdf
NIST Biometric Quality Workshop (2006), http://www.itl.nist.gov/iad/894.03/quality/workshop07/index.html, 2007
E. Tabassi, C. Wilson, C. Watson, Fingerprint image quality, NIST research report NISTIR7151, 2004
ISO/IEC Biometric Sample Quality Standard, ISO/IEC 29794 (2009), http://www.iso.org/iso/iso_catalogue/catalogue_tc/catalogue_detail.htm?csnumber=43583
L. Hong, Y. Wan, A. Jain, Fingerprint image enhancement: algorithms and performance evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 20(8), 777–789 (1998)
D. Maltoni, D. Maio, A. Jain, S. Prabhakar, Handbook of Fingerprint Recognition (Springer, New York, 2003)
P. Grother, M. McCabe, C. Watson, M. Indovina, W. Salamon, P. Flanagan, E. Tabassi, E. Newton, C. Wilson, MINEX: performance and interoperability of the INCITS 378 fingerprint template. NIST MINEX Evaluation Report, 2006
A. Jain, P. Flynn, A. Ross, Handbook of Biometrics (Springer, New York, 2008)
E. Henry, Classification and Uses of Finger Prints (Routledge, London, 1900)
A. Ross, K. Nandakumar, A. Jain, Handbook of Multibiometrics (Springer, New York, 2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media New York
About this entry
Cite this entry
Chen, Y., Fondeur, JC. (2015). Biometric Algorithms. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_208
Download citation
DOI: https://doi.org/10.1007/978-1-4899-7488-4_208
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-7487-7
Online ISBN: 978-1-4899-7488-4
eBook Packages: Computer ScienceReference Module Computer Science and Engineering