Document analysis and recognition with wavelet and fractal theories
Author(s)
Bibliographic Information
Document analysis and recognition with wavelet and fractal theories
(Series in machine perception and artificial intelligence / editors, H. Bunke, P.S.P. Wang, v. 79)
World Scientific, c2012
Available at 3 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references (p. 337-351) and index
Description and Table of Contents
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.
Table of Contents
- Basic Concepts of Document Analysis and Understanding
- Basic Knowledge of Fractal Geometry and Wavelet Analysis
- Document Analysis by Fractal Dimensions
- Text Extraction by Wavelet Decomposition
- Rotation Invariant by Fractal
- Wavelet-Based Approach to Script Identification
- Fractal-Based Method for Script Identification
- Hidden Markov Model (WD-HMM) in Wavelet Domain for Writer Identification.
by "Nielsen BookData"