Document analysis and recognition with wavelet and fractal theories [[electronic resource] /] / Yuan Yan Tang |
Autore | Tang Yuan Yan |
Pubbl/distr/stampa | Singapore, : World Scientific Pub. Co., 2012 |
Descrizione fisica | 1 online resource (373 p.) |
Disciplina |
515
515.2433 |
Collana | Series in machine perception and artificial intelligence |
Soggetto topico |
Wavelets (Mathematics)
Fractals |
Soggetto genere / forma | Electronic books. |
ISBN | 981-4401-01-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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
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 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; 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 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 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 Chapter 4 Document Analysis by Fractal Dimension |
Record Nr. | UNINA-9910451637403321 |
Tang Yuan Yan
![]() |
||
Singapore, : World Scientific Pub. Co., 2012 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Document analysis and recognition with wavelet and fractal theories [[electronic resource] /] / Yuan Yan Tang |
Autore | Tang Yuan Yan |
Pubbl/distr/stampa | Singapore, : World Scientific Pub. Co., 2012 |
Descrizione fisica | 1 online resource (373 p.) |
Disciplina |
515
515.2433 |
Collana | Series in machine perception and artificial intelligence |
Soggetto topico |
Wavelets (Mathematics)
Fractals |
ISBN | 981-4401-01-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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
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 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; 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 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 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 Chapter 4 Document Analysis by Fractal Dimension |
Record Nr. | UNINA-9910779011503321 |
Tang Yuan Yan
![]() |
||
Singapore, : World Scientific Pub. Co., 2012 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Document analysis and recognition with wavelet and fractal theories / / Yuan Yan Tang |
Autore | Tang Yuan Yan |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore, : World Scientific Pub. Co., 2012 |
Descrizione fisica | 1 online resource (373 p.) |
Disciplina |
515
515.2433 |
Collana | Series in machine perception and artificial intelligence |
Soggetto topico |
Wavelets (Mathematics)
Fractals |
ISBN | 981-4401-01-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
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
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 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; 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 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 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 Chapter 4 Document Analysis by Fractal Dimension |
Record Nr. | UNINA-9910823686603321 |
Tang Yuan Yan
![]() |
||
Singapore, : World Scientific Pub. Co., 2012 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|