DocumentCode
2471538
Title
An introduction to biometrics
Author
Jain, Anil K. ; Ross, Arun ; Nandakumar, Karthik
Author_Institution
Michigan State Univ., MI, USA
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
1
Lastpage
1
Abstract
Summary form only given. Biometrics refers to the automatic identification (or verification) of an individual (or a claimed identity) by using certain physical or behavioral traits associated with the person. By using biometrics it is possible to establish an identity based on `who you are¿, rather than by `what you possess¿ (e.g., an ID card) or `what you remember¿ (e.g., a password). Therefore, biometric systems use fingerprints, hand geometry, iris, retina, face, vasculature patterns, signature, gait, palmprint, or voiceprint to determine a person¿s identity. The purpose of this tutorial is two-fold: (a) to introduce the fundamentals of biometric technology from a pattern recognition and signal processing perspective by discussing some of the prominent techniques used in the field; and (b) to convey the recent advances made in this field especially in the context of security, privacy and forensics. To this end, the design of a biometric system will be discussed from the viewpoint of four commonly used biometric modalities - fingerprint, face, hand, and iris. Various algorithms that have been developed for processing these modalities will be presented. Methods to protect the biometric templates of enrolled users will also be outlined. In particular, the possibility of performing biometric matching in the cryptographic domain will be discussed. The tutorial will also introduce concepts in biometric fusion (i.e., multibiometrics) in which multiple sources of biometric information are consolidated. Finally, there will be a discussion on some of the challenges encountered by biometric systems when operating in a real-world environment and some of the methods used to address these challenges.
Keywords
authorisation; biometrics (access control); automatic identification; behavioral traits; biometric information; biometric matching; cryptographic domain; pattern recognition; physical traits; signal processing; Biomedical signal processing; Biometrics; Fingerprint recognition; Geometry; Iris; Pattern recognition; Privacy; Retina; Security; Spectrogram;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location
Tampa, FL
ISSN
1051-4651
Print_ISBN
978-1-4244-2174-9
Electronic_ISBN
1051-4651
Type
conf
DOI
10.1109/ICPR.2008.4760935
Filename
4760935
Link To Document