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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.
Sample Chapter(s)
Chapter 1: Basic Concepts of Document Analysis and Understanding (666k)
Contents:
- Basic Concepts of Document Analysis and Understanding
- Basic Concepts of Fractal Dimension
- Basic Concepts of Wavelet Theory
- Document Analysis by Fractal Dimension
- Text Extraction by Wavelet Decomposition
- Rotation Invariant by Fractal Theory with Central Projection Transform (CPT)
- Wavelet-Based and Fractal-Based Methods for Script Identification
- Writer Identification Using Hidden Markov Model in Wavelet Domain (WD-HMM)
Readership: Professionals, researchers, academics and graduate students in pattern/recognition/image analysis, machine perception/computer vision, and electrical & electronic engineering.
