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Iris Image Recognition : Wavelet Filter-banks Based Iris Feature Extraction Schemes / / by Amol D. Rahulkar, Raghunath S. Holambe



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Autore: Rahulkar Amol D Visualizza persona
Titolo: Iris Image Recognition : Wavelet Filter-banks Based Iris Feature Extraction Schemes / / by Amol D. Rahulkar, Raghunath S. Holambe Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (95 p.)
Disciplina: 006.4
Soggetto topico: Signal processing
Image processing
Speech processing systems
Optical data processing
System safety
Signal, Image and Speech Processing
Computer Imaging, Vision, Pattern Recognition and Graphics
Security Science and Technology
Persona (resp. second.): HolambeRaghunath S
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Features Based on Triplet Half-band Wavelet Filter-banks -- Combined Directional Wavelet Filter-banks Based Features -- Iris Representation by Combined Hybrid Directional Wavelet Filter-banks -- Ordinal Measures Based on Directional Ordinal Wavelet Filters.
Sommario/riassunto: This book provides the new results in wavelet filter banks based feature extraction, and the classifier in the field of iris image recognition. It provides the broad treatment on the design of separable, non-separable wavelets filter banks, and the classifier. The design techniques presented in the book are applied on iris image analysis for person authentication. This book also brings together the three strands of research (wavelets, iris image analysis, and classifier). It compares the performance of the presented techniques with state-of-the-art available schemes. This book contains the compilation of basic material on the design of wavelets that avoids reading many different books. Therefore, it provide an easier path for the new-comers, researchers to master the contents. In addition, the designed filter banks and classifier can also be effectively used than existing filter-banks in many signal processing applications like pattern classification, data-compression, watermarking, denoising etc.  that will give the new directions of the research in the relevant field for the readers.
Titolo autorizzato: Iris Image Recognition  Visualizza cluster
ISBN: 3-319-06767-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299744003321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Signal Processing, . 2196-4076