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Computational Algorithms for Fingerprint Recognition (Paperback, Softcover reprint of the original 1st ed. 2004)
Loot Price: R2,766
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Computational Algorithms for Fingerprint Recognition (Paperback, Softcover reprint of the original 1st ed. 2004)
Series: International Series on Biometrics, 1
Expected to ship within 10 - 15 working days
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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.
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