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Iris Image Recognition SpringerBriefs in Signal Processing

Iris Image Recognition SpringerBriefs in Signal Processing Wavelet Filter-Banks Based Iris Feature Extraction Schemes - SpringerBriefs in Electrical and Computer Engineering

2014

Paperback (27 May 2014)

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Publisher's Synopsis

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.

Book information

ISBN: 9783319067667
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: 2014
Language: English
Number of pages: 84
Weight: 166g
Height: 235mm
Width: 155mm
Spine width: 5mm