Kavati, Ilaiah.
    Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems [[electronic resource] /] : монография / Ilaiah. Kavati, Prasad, Munaga V.N.K., Bhagvati, Chakravarthy. ; . - 1st ed. 2017. - [S. l. : s. n.]. - XVII, 67 p. 29 illus. - Б. ц.
    Зміст:
Introduction --
Hierarchical Decomposition of Extended Triangulation for Fingerprint Indexing --
An Efficient Score-Based Indexing Technique for Fast Palmprint Retrieval --
A New Cluster-Based Indexing Technique for Palmprint Databases Using Scores and Decision-Level Fusion --
Conclusions and Future Scope.
Рубрики: Biometrics (Biology).
   Data protection.

   Information storage and retrieval.

   Special purpose computers.

   Biometrics.

   Security.

   Information Storage and Retrieval.

   Special Purpose and Application-Based Systems.

Анотація: 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.

Перейти: https://doi.org/10.1007/978-3-319-57660-2

Дод.точки доступу:
Prasad, Munaga V.N.K.; Bhagvati, Chakravarthy.; Kavati, Ilaiah. \.\; SpringerLink (Online service)
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