Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems

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

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Ilaiah Kavati, Munaga V. N. K. Prasad, Chakravarthy Bhagvati
    Pages 1-20
  3. Ilaiah Kavati, Munaga V. N. K. Prasad, Chakravarthy Bhagvati
    Pages 21-40
  4. Ilaiah Kavati, Munaga V. N. K. Prasad, Chakravarthy Bhagvati
    Pages 41-51
  5. Ilaiah Kavati, Munaga V. N. K. Prasad, Chakravarthy Bhagvati
    Pages 53-64
  6. Ilaiah Kavati, Munaga V. N. K. Prasad, Chakravarthy Bhagvati
    Pages 65-67

About this book

Introduction

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.

Keywords

Biometrics Information retrieval Large-scale systems Search indexing Pattern recognition

Authors and affiliations

  • Ilaiah Kavati
    • 1
  • Munaga V.N.K. Prasad
    • 2
  • Chakravarthy Bhagvati
    • 3
  1. 1.MLR Institute of TechnologyHyderabadIndia
  2. 2.Institute for Development and Research in Banking TechnologyHyderabadIndia
  3. 3.University of HyderabadHyderabadIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-57660-2
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-57659-6
  • Online ISBN 978-3-319-57660-2
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book
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