Jump to ratings and reviews
Rate this book

SpringerBriefs in Electrical and Computer Engineering

Iris Image Recognition: Wavelet Filter-banks Based Iris Feature Extraction Schemes (SpringerBriefs in Electrical and Computer Engineering / SpringerBriefs in Signal Processing) 2014 edition by Rahulkar, Amol D., Holambe, Raghunath S. (2014) Paperback

Rate 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.

Paperback

First published June 17, 2014

1 person is currently reading

About the author

Ratings & Reviews

What do you think?
Rate this book

Friends & Following

Create a free account to discover what your friends think of this book!

Community Reviews

5 stars
0 (0%)
4 stars
0 (0%)
3 stars
0 (0%)
2 stars
0 (0%)
1 star
0 (0%)
No one has reviewed this book yet.

Can't find what you're looking for?

Get help and learn more about the design.