Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems - Couverture souple

Livre 230 sur 322: SpringerBriefs in Computer Science

Kavati, Ilaiah

 
9783319576596: Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems
Couverture souple
ISBN 10 : 3319576593 ISBN 13 : 9783319576596
Editeur : Springer, 2017

Synopsis

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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Éditeur
Springer
Date d'édition
2017
Langue
anglais
ISBN 10 
3319576593
ISBN 13 
9783319576596
Reliure
Broché
Numéro d'édition
1
Nombre de pages
88
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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