
EAN: 9783319576596

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This work presents a review of different indexing techniques designed to enhance the speed and efficiency of searches over large biometric databases. The coverage includes an extended Delaunay triangulation-based approach for fingerprint biometrics involving a classification based on the type of minutiae at the vertices of each triangle. This classification is demonstrated to provide improved partitioning of the database leading to a significant decrease in the number of potential matches during identification. This discussion is then followed by a description of a second indexing technique which sorts biometric images based on match scores calculated against a set of pre-selected sample images resulting in a rapid search regardless of the size of the database. The text also examines a novel clustering-based approach to indexing with decision-level fusion using an adaptive clustering algorithm to compute a set of clusters represented by a 'leader' image and then determining the index code from the set of leaders. This is shown to improve identification performance while using minimal resources.
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21.06.2025 um 16:24 Uhr
21.06.2025 um 16:24 Uhr
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