Overview
- Brings together new results in wavelet filter-banks based feature extraction
- Offers a compilation of basic material on the design of wavelets that otherwise requires the reading many different books and other sources
- Provides an easy path for the new-comers, researchers to master the contents
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)
Part of the book sub series: SpringerBriefs in Signal Processing (BRIEFSSIGNAL)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Iris Image Recognition
Book Subtitle: Wavelet Filter-banks Based Iris Feature Extraction Schemes
Authors: Amol D. Rahulkar, Raghunath S. Holambe
Series Title: SpringerBriefs in Electrical and Computer Engineering
DOI: https://doi.org/10.1007/978-3-319-06767-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2014
Softcover ISBN: 978-3-319-06766-7Published: 27 May 2014
eBook ISBN: 978-3-319-06767-4Published: 12 May 2014
Series ISSN: 2191-8112
Series E-ISSN: 2191-8120
Edition Number: 1
Number of Pages: XIII, 84
Number of Illustrations: 16 b/w illustrations, 17 illustrations in colour
Topics: Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics, Security Science and Technology