
- 372 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Document Analysis And Recognition With Wavelet And Fractal Theories
About this book
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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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Document Analysis And Recognition With Wavelet And Fractal Theories by Yuan Yan Tang in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Science General. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Contents
- Preface
- Chapter 1 Basic Concepts of Document Analysis and Understanding
- Chapter 2 Basic Concepts of Fractal Dimension
- Chapter 3 Basic Concepts of Wavelet Theory
- Chapter 4 Document Analysis by Fractal Dimension
- Chapter 5 Text Extraction by Wavelet Decomposition
- Chapter 6 Rotation Invariant by Fractal Theory with Central Projection Transform (CPT)
- Chapter 7 Wavelet-Based and Fractal-Based Methods for Script Identification
- Chapter 8 Writer Identification Using Hidden Markov Model in Wavelet Domain (WD-HMM)
- Bibliography
- Index