Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems

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.

List of contents

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.

Product details

• Authors: Chakravarthy Bhagvati, Ilaiah Kavati, Munaga V.N.K. Prasad
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 16.05.2017
• EAN: 9783319576596
• ISBN: 978-3-31-957659-6
• No. of pages: 67
• Dimensions: 155 mm x 6 mm x 234 mm
• Weight: 149 g
• Illustrations: XVII, 67 p. 29 illus.
• Series: SpringerBriefs in Computer Science
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; C, Security, Data Warehousing, computer science, Information Retrieval, Computer Vision, data protection, Computer security, Expert systems / knowledge-based systems, Biometrics, Biometrics (Biology), Information Storage and Retrieval, Special purpose computers, Special Purpose and Application-Based Systems