05325nam 2200637 a 450 991077901150332120230802005138.0981-4401-01-3(CKB)2550000000101519(EBL)919133(OCoLC)793374377(SSID)ssj0000655480(PQKBManifestationID)12237672(PQKBTitleCode)TC0000655480(PQKBWorkID)10595844(PQKB)11320924(MiAaPQ)EBC919133(Au-PeEL)EBL919133(CaPaEBR)ebr10563477(CaONFJC)MIL505495(EXLCZ)99255000000010151920120611d2012 uy 0engur|n|---|||||txtccrDocument analysis and recognition with wavelet and fractal theories[electronic resource] /Yuan Yan TangSingapore World Scientific Pub. Co.20121 online resource (373 p.)Series in machine perception and artificial intelligence ;v. 79Description based upon print version of record.981-4401-00-5 Includes bibliographical references and index.Contents; Preface; Chapter 1 Basic Concepts of Document Analysis and Understanding; 1.1 Introduction.; 1.2 Basic Model of Document Processing; 1.3 Document Structures; 1.3.1 Strength of Structure; 1.3.2 Geometric Structure; 1.3.2.1 Geometric Complexity; 1.3.3 Logical Structure; 1.4 Document Analysis; 1.4.1 Hierarchical Methods; 1.4.1.1 Top-Down Approach; 1.4.1.2 Bottom-Up Approach; 1.4.2 No-HierarchicalMethods; 1.4.2.1 Modified Fractal Signature; 1.4.2.2 Order Stochastic Filtering; 1.4.3 Web Document Analysis; 1.5 Document Understanding1.5.1 Document Understanding Based on Tree Transformation1.5.2 Document Understanding Based on Formatting Knowledge; 1.5.3 Document Understanding Based on Description Language; 1.6 Form Document Processing; 1.6.1 Characteristics of Form Documents; 1.6.2 Wavelet Transform Approach; 1.6.3 Approach Based on Form Description Language; 1.6.4 Form Document Processing Based on Form Registration; 1.6.5 Form Document Processing System; 1.7 Character Recognition and Document Image Processing; 1.7.1 Handwritten and Printed Character Recognition1.7.1.1 Extracting Multiresolution Features in Recognition of Handwritten Numerals with 2-D Haar Wavelet1.7.1.2 Recognition of Printed Kannada Text in Indian Languages; 1.7.1.3 Wavelet Descriptors of Handprinted Characters; 1.7.2 Document Image Analysis Based on Multiresolution Hadamard Representation (MHR); 1.8 Major Techniques; 1.8.1 Hough Transform.; 1.8.2 Techniques for Skew Detection; 1.8.3 Projection Profile Cuts; 1.8.4 Run-Length Smoothing Algorithm (RLSA); 1.8.5 Neighborhood Line Density (NLD); 1.8.6 Connected Components Analysis (CCA); 1.8.7 Crossing Counts1.8.8 Form Definition Language (FDL)1.8.9 Texture Analysis - Gabor Filters; 1.8.10 Wavelet Transform; 1.8.11 Other Segmentation Techniques; Chapter 2 Basic Concepts of Fractal Dimension; 2.1 Definitions of Fractals; 2.2 Hausdorff Dimension; 2.2.1 Hausdorff Measure; 2.2.2 Hausdorff Dimension; 2.2.3 Examples of Computing Hausdorff Dimension; 2.3 Box Computing Dimension; 2.3.1 Dimensions; 2.3.2 Box Computing Dimension; 2.3.3 Minkowski Dimension; 2.3.4 Properties of Box Counting Dimension; 2.4 Basic Methods for Calculating Dimensions; Chapter 3 Basic Concepts of Wavelet Theory3.1 Continuous Wavelet Transforms3.1.1 General Theory of Continuous Wavelet Transforms; 3.1.2 The Continuous Wavelet Transform as a Filter; 3.1.3 Description of Regularity of Signal by Wavelet; 3.1.4 Some Examples of Basic Wavelets; 3.2 Multiresolution Analysis (MRA) and Wavelet Bases; 3.2.1 Multiresolution Analysis; 3.2.1.1 Basic Concept of MRA; 3.2.1.2 The Solution of Two-Scale Equation; 3.2.2 The Construction of MRAs; 3.2.2.1 The Biorthonormal MRA; 3.2.2.2 Examples of Constructing MRA; 3.2.3 The Construction of Biorthonormal Wavelet Bases; 3.2.4 S.Mallat AlgorithmsChapter 4 Document Analysis by Fractal DimensionMany 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 asSeries in machine perception and artificial intelligence ;v. 79.Wavelets (Mathematics)FractalsWavelets (Mathematics)Fractals.515515.2433Tang Yuan Yan1113402MiAaPQMiAaPQMiAaPQBOOK9910779011503321Document analysis and recognition with wavelet and fractal theories3838683UNINA