Computational Algorithms for Fingerprint Recognition

Inhaltsverzeichnis

1. Introduction.- 2. Learned Templates for Minutiae Extraction.- 3. Fingerprint Indexing.- 4. Fingerprint Matching by Genetic Algorithms.- 5. Genetic Programming for Fingerprint Classification.- 6. Classification and Indexing Approaches for Identification.- 7. Fundamental Performance Analysis — Prediction and Validation.- 8. Summary and Future Work.- References.
Band 1
International Series on Biometrics Band 1

Computational Algorithms for Fingerprint Recognition

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Computational Algorithms for Fingerprint Recognition

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Beschreibung


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.

Details

Einband

Gebundene Ausgabe

Erscheinungsdatum

30.11.2003

Verlag

Springer US

Seitenzahl

191

Maße (L/B/H)

24.1/16/1.7 cm

Beschreibung

Details

Einband

Gebundene Ausgabe

Erscheinungsdatum

30.11.2003

Verlag

Springer US

Seitenzahl

191

Maße (L/B/H)

24.1/16/1.7 cm

Gewicht

1080 g

Auflage

2004

Sprache

Englisch

ISBN

978-1-4020-7651-0

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  • Computational Algorithms for Fingerprint Recognition
  • 1. Introduction.- 2. Learned Templates for Minutiae Extraction.- 3. Fingerprint Indexing.- 4. Fingerprint Matching by Genetic Algorithms.- 5. Genetic Programming for Fingerprint Classification.- 6. Classification and Indexing Approaches for Identification.- 7. Fundamental Performance Analysis — Prediction and Validation.- 8. Summary and Future Work.- References.