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Item Details
Title:
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COMPUTATIONAL ALGORITHMS FOR FINGERPRINT RECOGNITION
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By: |
Bir Bhanu, Xuejun Tan |
Format: |
Hardback |
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List price:
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£135.00 |
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it.
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ISBN 10: |
1402076517 |
ISBN 13: |
9781402076510 |
Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
Pub. date: |
30 November, 2003 |
Edition: |
2004 ed. |
Series: |
International Series on Biometrics 1 |
Pages: |
191 |
Description: |
Presents a range of computational algorithms for fingerprint recognition. These include feature extraction, indexing, matching, classification, and performance prediction/validation methods. This work is suitable as a secondary text for graduate-level students in computer science and engineering. |
Synopsis: |
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. |
Illustrations: |
XX, 191 p. |
Publication: |
US |
Imprint: |
Springer-Verlag New York Inc. |
Returns: |
Returnable |
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