Abstract
As a method of preserving of privacy and the security of sensitive information, biometrics has been studied and used for the past few decades. 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 snapshots of enrollee’s fingerprints. In this paper, additional fingerprint images are used in enrollment phase. Our experiments using FVC 2002 databases show that the enrollment using multiple snapshots improves the performance of the whole fingerprint verification system.
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© 2004 Springer-Verlag Berlin Heidelberg
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Gil, Y., Ahn, D., Ryu, C., Pan, S., Chung, Y. (2004). User Enrollment Using Multiple Snapshots of Fingerprint. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_52
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DOI: https://doi.org/10.1007/978-3-540-30499-9_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23931-4
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