Document analysis and recognition with wavelet and fractal theories
著者
書誌事項
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
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注記
Includes bibliographical references (p. 337-351) and index
内容説明・目次
内容説明
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.
目次
- 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.
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