Document Analysis And Recognition With Wavelet And Fractal Theories (Hardcover)


Many phenomena around the research in document analysis and understanding are much better described through the powerful multiscale signal representations than by traditional ways. From this perspective, the recent emergence of powerful multiscale signal representations in general and fractal/wavelet basis representations in particular, has been particularly timely. Indeed, out of these theories arise highly natural and extremely useful representations for a variety of important phenomena in document analysis and understanding. This book presents both the development of these new approaches as well as their application to a number of fundamental problems of interest to scientists and engineers in document analysis and understanding.

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Product Description

Many phenomena around the research in document analysis and understanding are much better described through the powerful multiscale signal representations than by traditional ways. From this perspective, the recent emergence of powerful multiscale signal representations in general and fractal/wavelet basis representations in particular, has been particularly timely. Indeed, out of these theories arise highly natural and extremely useful representations for a variety of important phenomena in document analysis and understanding. This book presents both the development of these new approaches as well as their application to a number of fundamental problems of interest to scientists and engineers in document analysis and understanding.

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Product Details

General

Imprint

World Scientific Publishing Co Pte Ltd

Country of origin

Singapore

Series

Series In Machine Perception And Artificial Intelligence, 79

Release date

March 2012

Availability

Expected to ship within 10 - 15 working days

First published

March 2012

Authors

Dimensions

229 x 155 x 25mm (L x W x T)

Format

Hardcover

Pages

372

ISBN-13

978-981-4401-00-5

Barcode

9789814401005

Categories

LSN

981-4401-00-5



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