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MessagePosté le: Ven 7 Juil - 13:32 (2017)    Sujet du message: EfficientBiometricIndexingandRetrievalTechniquesforLargeS Répondre en citant



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.







Details:
rank:
price: $53.07
bound: 67 pages
publisher: Springer; 1st ed. 2017 edition (May 16, 2017)
lang: English
asin:
isbn: 3319576593, 978-3319576596,
weight: 5.6 ounces (
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Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems (SpringerBriefs in Computer Science) free eReader touch how download reader





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