DocumentCode :
1954910
Title :
Image Quality and Minutiae Count Comparison for Genuine and Artificial Fingerprints
Author :
Elliott, Stephen J. ; Modi, Shimon K. ; Maccarone, Lou ; Young, Matthew R. ; Jin, Changlong ; Kim, Hale
Author_Institution :
Purdue Univ., Lafayette
fYear :
2007
fDate :
8-11 Oct. 2007
Firstpage :
30
Lastpage :
36
Abstract :
The vulnerabilities of biometric sensors have been discussed extensively in the literature and popularized in films and television shows. This research examines the image quality of an artificial print as compared to a genuine finger, and examines the characteristics of the two, including minutiae counts and image quality, as repeated samples are taken.
Keywords :
fingerprint identification; artificial fingerprints; biometric sensors; fingerprint recognition; genuine fingerprints; image quality; minutiae count comparison; Authentication; Biometrics; Biosensors; Fingerprint recognition; Fingers; Image quality; Radiofrequency identification; Sensor phenomena and characterization; TV; USA Councils; authentication; biometrics; fingerprint recognition; repeatability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security Technology, 2007 41st Annual IEEE International Carnahan Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
978-1-4244-1129-0
Type :
conf
DOI :
10.1109/CCST.2007.4373464
Filename :
4373464
Link To Document :
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