Random Bands: A novel ensemble for fingerprint matching
نویسندگان
چکیده
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. r 2006 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Neurocomputing
دوره 69 شماره
صفحات -
تاریخ انتشار 2006