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Published Articles >> Table of Contents >> Abstract
32nd Applied Imagery Pattern Recognition Workshop (AIPR'03)
p. 238
Access Control System with High Level Security Using Fingerprints
Younhee Gil, Electronics and Telecommunications Research Institute
Dosung Ahn, Electronics and Telecommunications Research Institute
Sungbum Pan, Electronics and Telecommunications Research Institute
Yongwha Chung, Korea University
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AIPR.2003.1284278
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| Abstract |
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Biometric based applications guarantee for
resolving numerous security hazards. As a method of
preserving of privacy and the security of sensitive
information, biometrics has been studied and used for
the past few decades. Fingerprint is one of the most
widely used biometrics. A number of fingerprint
verification approaches have been proposed until now.
However, fingerprint images acquired using current
fingerprint input devices that have small field of view
are from just very limited areas of whole fingertips.
Therefore, essential information required to
distinguish fingerprints could be missed, or extracted
falsely. The limited and somewhat distorted
information are detected from them, which might
reduce the accuracy of fingerprint verification systems.
In the systems that verify the identity of two
fingerprints using fingerprint features, it is critical to
extract the correct feature information. In order to
deal with these problems, compensation of imperfect
information can be performed using multiple
impressions of enrollee's fingerprints.
In this paper, additional three fingerprint images
are used in enrollment phase of fingerprint verification
system. Our experiments using FVC 2002 databases
show that the enrollment using multiple impressions
improves the performance of the whole fingerprint
verification system.
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Additional Information
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Citation:
Younhee Gil, Dosung Ahn, Sungbum Pan, Yongwha Chung,
"Access Control System with High Level Security Using Fingerprints,"
aipr,
p. 238,
32nd Applied Imagery Pattern Recognition Workshop (AIPR'03),
2003
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