Character Recognition Systems: A Guide for Students and Practitioners | 拾書所

Character Recognition Systems: A Guide for Students and Practitioners

$ 3,383 元 原價 3,980

Description

Character Recognition Systems discusses character recognition, a process by which text-based input patterns produce meaningful output. Through the use of practical examples and theoretical concepts, the authors discuss feature extraction and selection, pattern recognition, as well as relevant issues such as the recognition of bank accounts, signature verification, and postal address recognition.

Table of Contents

Figures.

List of Tables.

Preface.

Acknowledgments.

Acronyms.

1. Introduction: Character Recognition, Evolution and Development.

1.1 Generation and Recognition of Characters.

1.2 History of OCR.

1.3 Development of New Techniques.

1.4 Recent Trends and Movements.

1.5 Organization of the Remaining Chapters.

References.

2. Tools for Image Pre-Processing.

2.1 Generic Form Processing System.

2.2 A Stroke Model for Complex Background Elimination.

2.2.1 Global Gray Level Thresholding.

2.2.2 Local Gray Level Thresholding.

2.2.3 Local Feature Thresholding-Stroke Based Model.

2.2.4 Choosing the Most Efficient Character Extraction Method.

2.2.5 Cleaning up Form Items Using Stroke Based Model.

2.3 A Scale-Space Approach for Visual Data Extraction.

2.3.1 Image Regularization.

2.3.2 Data Extraction.

2.3.3 Concluding Remarks.

2.4 Data Pre-Processing.

2.4.1 Smoothing and Noise Removal.

2.4.2 Skew Detection and Correction.

2.4.3 Slant Correction.

2.4.4 Character Normalization.

2.4.5 Contour Tracing/Analysis.

2.4.6 Thinning.

2.5 Chapter Summary.

References 72.

3. Feature Extraction, Selection and Creation.

3.1 Feature Extraction.

3.1.1 Moments.

3.1.2 Histogram.

3.1.3 Direction Features.

3.1.4 Image Registration.

3.1.5 Hough Transform.

3.1.6 Line-Based Representation.

3.1.7 Fourier Descriptors.

3.1.8 Shape Approximation.

3.1.9 Topological Features.

3.1.10 Linear Transforms.

3.1.11 Kernels.

3.2 Feature Selection for Pattern Classification.

3.2.1 Review of Feature Selection Methods.

3.3 Feature Creation for Pattern Classification.

3.3.1 Categories of Feature Creation.

3.3.2 Review of Feature Creation Methods.

Reference demo_5
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