We show that it is possible to handle the problem of fingerprint deformation if the region of interest around the reference point is partitioned in smaller sub-images and each sub-image is used for creating a different template. The experiments show that our system outperforms the standard ‘FingerCode’ recognition method and other image-based approaches. Combining the matching score generated by the proposed technique with that obtained from a minutiae-based matcher results in an overall improvement in performance of the fingerprint matching.
Nanni, L., Lumini, A. (2006). A deformation-invariant image-based fingerprint verification system. NEUROCOMPUTING, 69, 2336-2339 [10.1016/j.neucom.2006.05.004].
A deformation-invariant image-based fingerprint verification system
NANNI, LORIS;LUMINI, ALESSANDRA
2006
Abstract
We show that it is possible to handle the problem of fingerprint deformation if the region of interest around the reference point is partitioned in smaller sub-images and each sub-image is used for creating a different template. The experiments show that our system outperforms the standard ‘FingerCode’ recognition method and other image-based approaches. Combining the matching score generated by the proposed technique with that obtained from a minutiae-based matcher results in an overall improvement in performance of the fingerprint matching.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
