EAN: 9783319576596

SPRINGERBRIEFS IN COMPUTER SCIENCE EFFICIENT ...

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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