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Computational Algorithms for Fingerprint Recognition

  • Bir Bhanu
  • Xuejun Tan

Part of the Kluwer International Series on Biometrics book series (KISB, volume 1)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Bir Bhanu, Xuejun Tan
    Pages 1-11
  3. Bir Bhanu, Xuejun Tan
    Pages 13-32
  4. Bir Bhanu, Xuejun Tan
    Pages 33-57
  5. Bir Bhanu, Xuejun Tan
    Pages 59-82
  6. Bir Bhanu, Xuejun Tan
    Pages 83-116
  7. Bir Bhanu, Xuejun Tan
    Pages 117-133
  8. Bir Bhanu, Xuejun Tan
    Pages 169-173
  9. Back Matter
    Pages 175-191

About this book

Introduction

Biometrics such as fingerprint, face, gait, iris, voice and signature, recognizes one's identity using his/her physiological or behavioral characteristics. Among these biometric signs, fingerprint has been researched the longest period of time, and shows the most promising future in real-world applications. However, because of the complex distortions among the different impressions of the same finger, fingerprint recognition is still a challenging problem.

Computational Algorithms for Fingerprint Recognition presents an entire range of novel computational algorithms for fingerprint recognition. These include feature extraction, indexing, matching, classification, and performance prediction/validation methods, which have been compared with state-of-art algorithms and found to be effective and efficient on real-world data. All the algorithms have been evaluated on NIST-4 database from National Institute of Standards and Technology (NIST). Specific algorithms addressed include:
-Learned template based minutiae extraction algorithm,
-Triplets of minutiae based fingerprint indexing algorithm,
-Genetic algorithm based fingerprint matching algorithm,
-Genetic programming based feature learning algorithm for fingerprint classification,
-Comparison of classification and indexing based approaches for identification,
-Fundamental fingerprint matching performance prediction analysis and its validation.

Computational Algorithms for Fingerprint Recognition is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Keywords

Signatur algorithms biometrics classification cognition fingerprint fingerprint matching fingerprint recognition

Authors and affiliations

  • Bir Bhanu
    • 1
  • Xuejun Tan
    • 1
  1. 1.University of California at RiversideUSA

Bibliographic information