Kavati, Ilaiah. Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems [electronic resource] / / by Ilaiah Kavati, Munaga V.N.K. Prasad, Chakravarthy Bhagvati.. — 1st ed. 2017.. — XVII, 67 p. 29 illus. : online resource. — (SpringerBriefs in Computer Science,) 2191-5768. - SpringerBriefs in Computer Science, .
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.
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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.
9783319576602
10.1007/978-3-319-57660-2 doi
Biometrics (Biology). Data protection. Information storage and retrieval. Special purpose computers. Biometrics. Security. Information Storage and Retrieval. Special Purpose and Application-Based Systems.