Kniha Computational Algorithms for Fingerprint Recognition B. Bhanu

Computational Algorithms for Fingerprint Recognition

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
2 286
Biometrics such as fingerprint, face, gait, iris, voice and signature, recognizes one's identity usi...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2003
Stránek
191
EAN
9781402076510
ISBN
1402076517
Enbook ID
05256392
Hmotnost
489
Rozměry
164 x 237 x 23

Kompletní popis

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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