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
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.File in questo prodotto:
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