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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: |
Paperback |
| List price:
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£135.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1461351030 |
| ISBN 13: |
9781461351030 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
22 December, 2012 |
| Edition: |
Softcover reprint of the original 1st ed. 2004 |
| Series: |
International Series on Biometrics 1 |
| Pages: |
191 |
| 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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