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Signal and image processing for biometrics / / edited by Amine Nait-Ali, Regis Fournier



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Titolo: Signal and image processing for biometrics / / edited by Amine Nait-Ali, Regis Fournier Visualizza cluster
Pubblicazione: London, : ISTE
Hoboken, N.J., : Wiley, 2012
Edizione: 1st edition
Descrizione fisica: 1 online resource (337 p.)
Disciplina: 570.1/5195
Soggetto topico: Biometric identification
Image processing
Signal processing
Altri autori: Nait-AliAmine  
FournierRegis  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Introduction to biometrics -- Introduction to 2D face recognition -- Facial soft biometrics for person recognition -- Modeling, reconstruction, and tracking for face recognition -- 3D face recognition -- Introduction to the iris biometrics -- Voice biometrics : speaker verification and identification -- Introduction to hand biometrics -- Hidden biometrics -- Performance evaluation of biometric systems -- Classification techniques for biometrics -- Data cryptography -- Visual data protection -- Biometrics in forensics.
Sommario/riassunto: The aim of this book is to deal with biometrics in terms of signal and image processing methods and algorithms. This will help engineers and students working in digital signal and image processing deal with the implementation of such specific algorithms.It discusses numerous signal and image processing techniques that are very often used in biometric applications. In particular, algorithms related to hand feature extraction, speech recognition, 2D/3D face biometrics, video surveillance and other interesting approaches are presented. Moreover, in some chapters, Matlab codes are provide
Titolo autorizzato: Signal and image processing for biometrics  Visualizza cluster
ISBN: 9781118561911
1118561910
9781299187122
1299187129
9781118588116
1118588118
9781118588192
1118588193
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911019214403321
Lo trovi qui: Univ. Federico II
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Serie: ISTE