9781402076510 - Computational Algorithms for Fingerprint Recognition: 1 di Bhanu, Bir; Tan, Xuejun (17 risultati)

Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. 2004 ed. Fingerprints are the most established from of biometrics with 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. This book presents an entire range of novel computational algorithms for fingerprint recognition, all evaluated by the National Institute of Standards and Technology (NIST). 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.

Condizione: New. pp. 220.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardback. Condizione: New. 2004 ed. Biometrics such as fingerprint, face, gait, iris, voice and signature, recognizes one's identity using his/her physiological or behavioural 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; and 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.

Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 220 pp. Englisch.

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an entire range of novel computational algorithms for fingerprint recognition All the algorithms have been evaluated on NIST-4 database from National Institute of Standards and Technology (NIST)Biometrics such as fingerprint, face.

Condizione: New. Print on Demand pp. 220 Illus.

Condizione: New. PRINT ON DEMAND pp. 220.

Buch. Condizione: Neu. Computational Algorithms for Fingerprint Recognition | Bir Bhanu (u. a.) | Buch | xx | Englisch | 2003 | Springer | EAN 9781402076510 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Fingerprints are the most established from of biometrics with 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. This book presents an entire range of novel computational algorithms for fingerprint recognition, all evaluated by the National Institute of Standards and Technology (NIST). 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch.