Yuan Yan Tang

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.

Document Analysis and Recognition with Wavelet and Fractal Theories

Bruno Torresani

Ning Zhong

Jiming Liu

John Daugman

Victor Wickerhauser

Jian Ping Li

John Yen

Sankar K Pal

Wavelet analysis and its applications have been one of the fastest-growing research areas in the past several years. Wavelet theory has been employed in numerous fields and applications, such as signal and image processing, communication systems, biomedical imaging, radar, and air acoustics. Active media technology is concerned with the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, cooperating, and delegating in a dynamic environment. This book captures the essence of the state of the art in wavelet analysis and its applications and active media technology. At the Congress, invited talks were delivered by distinguished researchers, namely Prof John Daugman of Cambridge University, UK; Prof Bruno Torresani of INRIA, France; Prof Victor Wickerhauser of Washington University, USA, Prof Ning Zhong of the Maebashi Institute of Technology, Japan; Prof John Yen of Pennsylvania State University, USA; and Prof Sankar K Pal of the Indian Statistical Institute, India. Contents: Volume 1: Keynote PresentationsTheoretical ResearchAlgorithm and ConstructionImage Processing and CompressionSignal Processing and CommunicationSystems and Applications Volume 2: Keynote PresentationsTheory and AlgorithmAgent and Multi-Agent SystemActive Computer Systems and InterfacesMulti-Modal Processing, Detection, Recognition and ExpressingPersonalized, Pervasive System and InterfaceSystems and Applications Readership: Graduate students, academics, researchers, and practitioners in the areas of pattern/handwriting recognition, image analysis, computer vision and networking.Keywords:Wavelet Analysis;Image Processing;Signal Processing;Communications;Algorithms and Constructions;Intelligent Agent Technology;Multi-Agent Technology;Multi-Agent Systems;Multi-Modal Processing;Detection

(In 2 Volumes)

Wavelet Analysis and Its Applications, and Active Media Technology

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. Contents:Basic Concepts of Document Analysis and UnderstandingBasic Concepts of Fractal DimensionBasic Concepts of Wavelet TheoryDocument Analysis by Fractal DimensionText Extraction by Wavelet DecompositionRotation Invariant by Fractal Theory with Central Projection Transform (CPT)Wavelet-Based and Fractal-Based Methods for Script IdentificationWriter 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. Keywords:Document Analysis;Recognition;Wavelet Theory;Multiresolution Analysis;Hidden Markov Model;Fractal Dimension;Box Computing Dimension

Yuan Yan Tang

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