Image-based approaches based on one-class classifiers are presented. The information is extracted with a feature-based representation and recognized by using an ensemble of one-class classifiers. The features extracted by “FingerCode” are used to capture the ridge strength. The experiments show that our system outperforms the standard “FingerCode” recognition method.
Random Bands: A novel ensemble for fingerprint matching
NANNI, LORIS;
2006
Abstract
Image-based approaches based on one-class classifiers are presented. The information is extracted with a feature-based representation and recognized by using an ensemble of one-class classifiers. The features extracted by “FingerCode” are used to capture the ridge strength. The experiments show that our system outperforms the standard “FingerCode” recognition method.File in questo prodotto:
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