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Cross Disciplinary Biometric Systems - Liu, Chengjun;Mago, Vijay Kumar
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Liu, Chengjun;Mago, Vijay Kumar:

Cross Disciplinary Biometric Systems - Taschenbuch

2014, ISBN: 9783642428401

[ED: Softcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is t… Mehr…

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Cross Disciplinary Biometric Systems - Vijay Kumar Mago
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Vijay Kumar Mago:

Cross Disciplinary Biometric Systems - Taschenbuch

2014, ISBN: 3642428401

[EAN: 9783642428401], Neubuch, [PU: Springer Berlin Heidelberg Mai 2014], IRISRECOGNITION; BIOMETRICSYSTEMS; FACERECOGNITION; FINGERPRINTRECOGNITION; INTELLIGENTSYSTEMS, This item is prin… Mehr…

NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany [57449362] [Rating: 4 (von 5)]
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Cross Disciplinary Biometric Systems - Vijay Kumar Mago
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Vijay Kumar Mago:
Cross Disciplinary Biometric Systems - Taschenbuch

2014

ISBN: 3642428401

[EAN: 9783642428401], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], IRISRECOGNITION; BIOMETRICSYSTEMS; FACERECOGNITION; FINGERPRINTRECOGNITION; INTELLIGENTSYSTEMS, Druck auf Anfra… Mehr…

NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
4
Cross Disciplinary Biometric Systems - Vijay Kumar Mago
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Vijay Kumar Mago:
Cross Disciplinary Biometric Systems - Taschenbuch

2014, ISBN: 3642428401

[EAN: 9783642428401], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], BIOMETRICSYSTEMS; FACERECOGNITION; FINGERPRINTRECOGNITION; INTELLIGENTSYSTEMS; IRISRECOGNITION, Druck auf Anfra… Mehr…

NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Cross Disciplinary Biometric Systems
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Cross Disciplinary Biometric Systems - neues Buch

ISBN: 9783642428401

Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the sy… Mehr…

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Details zum Buch
Cross Disciplinary Biometric Systems

Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging the cross disciplinary technologies, face recognition systems, fingerprint recognition systems, iris recognition systems, as well as image search systems all benefit in terms of recognition performance. Take face recognition for an example, which is not only the most natural way human beings recognize the identity of each other, but also the least privacy-intrusive means because people show their face publicly every day. Face recognition systems display superb performance when they capitalize on the innovative ideas across color science, mathematics, and computer science (e.g., pattern recognition, machine learning, and image processing). The novel ideas lead to the development of new color models and effective color features in color science; innovative features from wavelets and statistics, and new kernel methods and novel kernel models in mathematics; new discriminant analysis frameworks, novel similarity measures, and new image analysis methods, such as fusing multiple image features from frequency domain, spatial domain, and color domain in computer science; as well as system design, new strategies for system integration, and different fusion strategies, such as the feature level fusion, decision level fusion, and new fusion strategies with novel similarity measures.

Detailangaben zum Buch - Cross Disciplinary Biometric Systems


EAN (ISBN-13): 9783642428401
ISBN (ISBN-10): 3642428401
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2014
Herausgeber: Springer Berlin

Buch in der Datenbank seit 2014-10-05T08:25:28+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-02T15:39:51+01:00 (Berlin)
ISBN/EAN: 9783642428401

ISBN - alternative Schreibweisen:
3-642-42840-1, 978-3-642-42840-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: cheng, liu, kum, che, vijay kumar, springer berlin heidelberg, natural color system
Titel des Buches: disc, cross, mago, disciplina


Daten vom Verlag:

Autor/in: Chengjun Liu; Vijay Kumar Mago
Titel: Intelligent Systems Reference Library; Cross Disciplinary Biometric Systems
Verlag: Springer; Springer Berlin
228 Seiten
Erscheinungsjahr: 2014-05-09
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Gewicht: 0,379 kg
Sprache: Englisch
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XVI, 228 p.

BC; Computational Intelligence; Hardcover, Softcover / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; Ingenieurwissenschaften; Biometric Systems; Face Recognition; Fingerprint Recognition; Intelligent Systems; Iris Recognition; Biometrics; Pattern Recognition; Artificial Intelligence; Computational Intelligence; Biometrics; Automated Pattern Recognition; Artificial Intelligence; Mustererkennung; BB

Feature Local Binary Patterns.- New Color Features for Pattern Recognition.- Gabor-DCT Features with Application to Face Recognition.- Frequency and Color Fusion for Face Verification.- Mixture of Classifiers for Face Recognition Across Pose.- Wavelet Features for 3D Face Recognition.- Minutiae-based Fingerprint Matching.- Iris segmentation: state of the art and innovative methods.- Various Discriminatory Features for Eye Detection.- LBP and Color Descriptors for Image Classification.

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