Iris Image Recognition

Wavelet Filter-banks Based Iris Feature Extraction Schemes de

,

Éditeur :

Springer


Collection :

SpringerBriefs in Electrical and Computer Engineering

Paru le : 2014-05-12

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Description


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 provides 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.
Pages
84 pages
Collection
SpringerBriefs in Electrical and Computer Engineering
Parution
2014-05-12
Marque
Springer
EAN papier
9783319067667
EAN EPUB
9783319067674

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
1802 Ko
Prix
52,74 €