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Cheriet, Mohammed / Kharma, Nawwaf / Liu, Cheng-Lin / Suen, Ching
Character Recognition Systems
A Guide for Students and Practitioners

1. Auflage - November 2007
105,- Euro
2007. 360 Seiten, Hardcover
ISBN-10: 0-471-41570-7
ISBN-13: 978-0-471-41570-1 - John Wiley & Sons

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Probekapitel

Kurzbeschreibung
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.

Aus dem Inhalt
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.

2.3 A Scale-Space Approach for Visual Data Extraction.

2.4 Data Pre-Processing.

2.5 Chapter Summary.

References 72.

3. Feature Extraction, Selection and Creation.

3.1 Feature Extraction.

3.2 Feature Selection for Pattern Classification.

3.3 Feature Creation for Pattern Classification.

3.4 Chapter Summary.

References.

4. Pattern Classification Methods.

4.1 Overview of Classification Methods.

4.2 Statistical Methods.

4.3 Artificial Neural Networks.

4.4 Support Vector Machines.

4.5 Structural Pattern Recognition.

4.6 Combining Multiple Classifiers.

4.7 A Concrete Example.

4.8 Chapter Summary.

References.

5. Word and String Recognition.

5.1 Introduction.

5.2 Character Segmentation.

5.3 Classification-Based String Recognition.

5.4 HMM-Based Recognition.

5.5 Holistic Methods For Handwritten Word Recognition.

5.6 Chapter Summary.

References.

6. Case Studies.

6.1 Automatically Generating Pattern Recognizers with Evolutionary Computation.

6.2 Offline Handwritten Chinese Character Recognition.

6.3 Segmentation and Recognition of Handwritten Dates on Canadian Bank Cheques.

References.


 
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