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Více informací o knize Computational Algorithms for Fingerprint Recognition

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Computational Algorithms for Fingerprint Recognition
• Autor: B. Bhanu, Xuejun Tan
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 191
• EAN: 9781402076510
• ISBN: 1402076517
• ID: 05256392
• Nakladatelství: Springer Netherlands
• Hmotnost: 489 g
• Rozměry: 237 × 164 × 23 mm
• Rok vydání: 2003

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