We present a system for fingerprint verification that approaches the problem as a two-class pattern recognition problem. The features extracted by “FingerCode” are used to capture the ridge strength. This feature vector is then classified as genuine or impostor according to a novel approach to handle the fingerprint verification as a two-class problem. Moreover, we show that extracting the features from sub-images around the core permits to better represent the local information.
Two-class Fingerprint matcher / Lumini, Alessandra; Nanni, Loris. - In: PATTERN RECOGNITION. - ISSN 0031-3203. - STAMPA. - 39:(2006), pp. 714-716. [10.1016/j.patcog.2005.11.003]
Two-class Fingerprint matcher
LUMINI, ALESSANDRA;NANNI, LORIS
2006
Abstract
We present a system for fingerprint verification that approaches the problem as a two-class pattern recognition problem. The features extracted by “FingerCode” are used to capture the ridge strength. This feature vector is then classified as genuine or impostor according to a novel approach to handle the fingerprint verification as a two-class problem. Moreover, we show that extracting the features from sub-images around the core permits to better represent the local information.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
