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[null,"1.","Record Nr.",null,"UNINA9910451637403321"]
[null,null,"Autore",null,"Tang Yuan Yan"]
[null,null,"Titolo",null,"Document analysis and recognition with wavelet and fractal theories [[electronic resource] /] / Yuan Yan Tang"]
[null,null,"Pubbl/distr/stampa",null,"Singapore, : World Scientific Pub. Co., 2012"]
[null,null,"ISBN",null,"981-4401-01-3"]
[null,null,"Descrizione fisica",null,"1 online resource (373 p.)"]
[null,null,"Collana",null,"Series in machine perception and artificial intelligence ; ; v. 79"]
[null,null,"Disciplina",null,"515"]
[{"$nulls":4},"515.2433"]
[null,null,"Soggetti",null,"Wavelets (Mathematics)"]
[{"$nulls":4},"Fractals"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Contents; Preface; Chapter 1 Basic Concepts of Document Analysis and Understanding; 1.1 Introduction.; 1.2 Basic Model of Document Processing; 1.3 Document Structures; 1.3.1 Strength of Structure; 1.3.2 Geometric Structure; 1.3.2.1 Geometric Complexity; 1.3.3 Logical Structure; 1.4 Document Analysis; 1.4.1 Hierarchical Methods; 1.4.1.1 Top-Down Approach; 1.4.1.2 Bottom-Up Approach; 1.4.2 No-HierarchicalMethods; 1.4.2.1 Modified Fractal Signature; 1.4.2.2 Order Stochastic Filtering; 1.4.3 Web Document Analysis; 1.5 Document Understanding"]
[{"$nulls":4},"1.5.1 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 Recognition"]
[{"$nulls":4},"1.7.1.1 Extracting Multiresolution Features in Recognition of Handwritten Numerals with 2-D Haar Wavelet1.7.1.2 Recognition of Printed Kannada Text in Indian Languages; 1.7.1.3 Wavelet Descriptors of Handprinted Characters; 1.7.2 Document Image Analysis Based on Multiresolution Hadamard Representation (MHR); 1.8 Major Techniques; "]
[{"$nulls":4},"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 Counts"]
[{"$nulls":4},"1.8.8 Form Definition Language (FDL)1.8.9 Texture Analysis - Gabor Filters; 1.8.10 Wavelet Transform; 1.8.11 Other Segmentation Techniques; Chapter 2 Basic Concepts of Fractal Dimension; 2.1 Definitions of Fractals; 2.2 Hausdorff Dimension; 2.2.1 Hausdorff Measure; 2.2.2 Hausdorff Dimension; 2.2.3 Examples of Computing Hausdorff Dimension; 2.3 Box Computing Dimension; 2.3.1 Dimensions; 2.3.2 Box Computing Dimension; 2.3.3 Minkowski Dimension; 2.3.4 Properties of Box Counting Dimension; 2.4 Basic Methods for Calculating Dimensions; Chapter 3 Basic Concepts of Wavelet Theory"]
[{"$nulls":4},"3.1 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 Algorithms"]
[{"$nulls":4},"Chapter 4 Document Analysis by Fractal Dimension"]
[null,null,null,"Sommario/riassunto","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"]