Description |
1 online resource |
Series |
SpringerBriefs in computer science |
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SpringerBriefs in computer science.
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Contents |
880-01 Preface; Acknowledgements; Contents; Abbreviations; List of Figures; List of Tables; 1 Introduction; 1.1 Introduction; 1.2 Biometric Recognition; 1.2.1 Verification; 1.2.2 Identification; 1.3 Indexing; 1.3.1 Challenges; 1.4 Biometric Indexing Techniques; 1.4.1 Key Feature Point Based Indexing Approaches; 1.4.2 Triplet-Based Indexing Approaches; 1.4.3 Match Score Based Indexing Approaches; 1.4.4 Other Indexing Approaches; 1.5 Benchmarking in Indexing and Performance Evaluation; 1.5.1 Databases; 1.5.2 Performance Metrics; 1.6 Summary; References |
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880-01/(S 3.2.1 Feature Extraction3.2.2 Index Code Computation; 3.2.3 Index Table Creation and User Enrolment; 3.3 Retrieval of Best Matches for a Query; 3.4 Selection of Sample Images; 3.4.1 Max-variance Method; 3.4.2 k-Means Clustering; 3.5 Experimental Results; 3.5.1 Neighborhood Size (λ); 3.5.2 Selection Rules for Sample Palmprints; 3.5.3 Results and Performance Comparison; 3.5.4 Retrieval Time; 3.6 Summary; References; 4 A New Cluster-Based Indexing Technique for Palmprint Databases Using Scores and Decision-Level Fusion; 4.1 Introduction; 4.2 Selection of Sample Images; 4.3 Indexing |
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2 Hierarchical Decomposition of Extended Triangulation for Fingerprint Indexing 2.1 Introduction; 2.2 Indexing Framework; 2.2.1 Minutiae Extraction; 2.2.2 Computation of Delaunay Triangulation; 2.2.3 Retrieval of Extended Triplet Set; 2.2.4 Hierarchical Decomposition of Extended Set; 2.2.5 Enrollment; 2.3 Query Identification; 2.4 Experimental Results; 2.4.1 Parameter Selection; 2.4.2 Results; 2.4.3 Comparison with Other Related Approaches; 2.4.4 Retrieval Time; 2.5 Summary; References; 3 Efficient Score-Based Indexing Technique for Fast Palmprint Retrieval; 3.1 Introduction; 3.2 Indexing |
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4.4 Query Identification4.4.1 Fusion of Decisions Output; 4.5 Experimental Results; 4.5.1 Results; 4.5.2 Retrieval Time; 4.5.3 Scalability of the System; 4.5.4 Effect of Feature Type on the System Performance; 4.5.5 Comparison with Multi-biometric Systems; 4.5.6 Comparison with Other Related Indexing Techniques; 4.6 Summary; References; 5 Conclusions and Future Scope; 5.1 Salient Features of the Contributions; 5.2 Future Scope |
Summary |
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 |
Bibliography |
Includes bibliographical references |
Subject |
Biometric identification.
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Databases.
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Indexing.
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Information organization.
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Subject cataloging.
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Information Storage and Retrieval
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Abstracting and Indexing
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subject cataloging.
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COMPUTERS -- Computer Literacy.
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COMPUTERS -- Computer Science.
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COMPUTERS -- Data Processing.
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COMPUTERS -- Hardware -- General.
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COMPUTERS -- Information Technology.
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COMPUTERS -- Machine Theory.
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COMPUTERS -- Reference.
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Biometric identification
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Databases
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Indexing
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Information organization
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Form |
Electronic book
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Author |
Prasad, Munaga V. N. K., 1971-
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Bhagvati, Chakravarthy
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ISBN |
3319576607 |
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9783319576602 |
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3319576593 |
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9783319576596 |
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