Ilaiah Kavati, Munaga V.N.K. Prasad, Chakravarthy Bhagvati

Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems

• Broschiertes Buch

Produktbeschreibung

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 determiningthe index code from the set of leaders. This is shown to improve identification performance while using minimal resources.

Produktdetails

• SpringerBriefs in Computer Science
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-57659-6
• 1st ed. 2017
• Seitenzahl: 67
• Englisch
• Abmessung: 6mm x 155mm x 234mm
• Gewicht: 149g
• ISBN-13: 9783319576596
• ISBN-10: 3319576593
• Artikelnr.: 47847661

Inhaltsangabe

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.