Computational Algorithms for Fingerprint Recognition:
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...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2004
|
| Ausgabe: | 1st ed. 2004 |
| Schriftenreihe: | International Series on Biometrics
1 |
| Schlagworte: | |
| Online-Zugang: | UBY01 URL des Eerstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XX, 191 p) |
| ISBN: | 9781461504917 |
| DOI: | 10.1007/978-1-4615-0491-7 |
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| 520 | |a 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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| dewey-full | 004.0151 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-1-4615-0491-7 |
| edition | 1st ed. 2004 |
| format | Electronic eBook |
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| index_date | 2024-07-03T16:12:22Z |
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| isbn | 9781461504917 |
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| series2 | International Series on Biometrics |
| spelling | Bhanu, Bir Verfasser aut Computational Algorithms for Fingerprint Recognition by Bir Bhanu, Xuejun Tan 1st ed. 2004 New York, NY Springer US 2004 1 Online-Ressource (XX, 191 p) txt rdacontent c rdamedia cr rdacarrier International Series on Biometrics 1 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 Theory of Computation Computers Tan, Xuejun aut Erscheint auch als Druck-Ausgabe 9781461351030 Erscheint auch als Druck-Ausgabe 9781402076510 Erscheint auch als Druck-Ausgabe 9781461504924 https://doi.org/10.1007/978-1-4615-0491-7 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Bhanu, Bir Tan, Xuejun Computational Algorithms for Fingerprint Recognition Theory of Computation Computers |
| title | Computational Algorithms for Fingerprint Recognition |
| title_auth | Computational Algorithms for Fingerprint Recognition |
| title_exact_search | Computational Algorithms for Fingerprint Recognition |
| title_exact_search_txtP | Computational Algorithms for Fingerprint Recognition |
| title_full | Computational Algorithms for Fingerprint Recognition by Bir Bhanu, Xuejun Tan |
| title_fullStr | Computational Algorithms for Fingerprint Recognition by Bir Bhanu, Xuejun Tan |
| title_full_unstemmed | Computational Algorithms for Fingerprint Recognition by Bir Bhanu, Xuejun Tan |
| title_short | Computational Algorithms for Fingerprint Recognition |
| title_sort | computational algorithms for fingerprint recognition |
| topic | Theory of Computation Computers |
| topic_facet | Theory of Computation Computers |
| url | https://doi.org/10.1007/978-1-4615-0491-7 |
| work_keys_str_mv | AT bhanubir computationalalgorithmsforfingerprintrecognition AT tanxuejun computationalalgorithmsforfingerprintrecognition |