Computers & Internet Books:

Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems

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Description

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.
Release date Australia
May 16th, 2017
Pages
67
Edition
1st ed. 2017
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
Illustrations
29 Illustrations, black and white; XVII, 67 p. 29 illus.
Dimensions
155x235x5
ISBN-13
9783319576596
Product ID
26766495

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