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 feat...

Nowadays need of increased security in various domains of real life activities demands Automatic Authentication System with fast execution time and accuracy. There are different biometric technologies. But among all biometric technologies, Automatic Fingerprint Matcher System is widely used for person verification and identification. In the Fingerprint Matcher system, different matching methods...

Schema matching is recognized to be one of the basic operations required by the process of data and schema integration, and thus has a great impact on its outcome. We propose a new approach to combining matchers into ensembles, called Schema Matcher Boosting (SMB). This approach is based on a well-known machine learning technique, called boosting. We present a boosting algorithm for schema matc...

This paper presents an information extraction method, suitable for data-rich documents, based on the knowledge represented in a domain ontology. The extractor combines a fuzzy string matcher and a word sense disambiguation (WSD) algorithm. The fuzzy string matcher finds mentions of terms combining character-level and token-level similarity measures dealing with non-standardized acronyms and inc...

The integration of independently developed data sources poses many problems, which are the result of several types of heterogeneity. One of the most daunting challenges is schema matching, which is the semi-automatic process of detecting semantic relationships between attributes in heterogeneous schemata. Various solutions that exploit schema information or extract specific features from attrib...

This three-part appendix contains the results of experiments measuring the effectiveness of different categories of fusion: multi-modal (finger and face), multi-instance (multiple finger positions), multi-matcher, and multi-sample (multiple enrollments). Appendix B.1: Score-Level Fusion of Face and Multiple Fingerprints This is an analysis of the effectiveness of multi-modal (finger and face) a...

Consider a decision support system for capital asset acquisitions (Wallingford and Sticklen 1985). The system helps users decide whether to purchase an asset or lease it from another company. Each of these alternatives leads to more specific decisions, such as whether to structure a leasing arrangement as a direct lease, a leveraged lease, or a conditional sale. All of these decisions depend on...