ADVANCES IN CHARACTER RECOGNITION
ISBN: 978-1-83926-151-0
Year: 2022
Binding: HB
Price: GBP 216.00
About Book
Research on character recognition has had a relatively short history compared to the study of letter recognition. In fact, although some progress has been made over the past two decades, what we have learned about the processing of characters is still very limited in comparison with what we know about letter recognition. The research on the cognitive processing of characters has usually been conducted using methods and techniques similar to those used in english research, aiming to understand the processes underpinning character recognition and related language activities. Character recognition is a process which allows computers to recognize written or printed characters such as numbers or letters and to change them into a form that the computer can use. Character recognition enhances the processing of scanned images by allowing you to automatically recognize and extract text content from different data fields. This book presents advances in character recognition that cover wide range of topics on different aspects of character recognition. It is a valuable compilation of topics, ranging from the basic to the most complex principles and practices. It provides comprehensive insights into the fields of handwritten character recognition, metasets, SVM classifiers, personal character recognition, genetic algorithms, cursive character recognition, letter properties and character degradation model. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge. As this field is emerging at a rapid pace, the contents of this book will help the students understand the modern concepts and techniques of the subject.
Preface............................................................................................................v
Chapter 1 A Deterministic Algorithm for Arabic Character Recognition Based on Letter Properties....................................................................................1
Abstract...................................................................................................1
1. Introduction............................................................................................2
2. Related work..........................................................................................2
3. Letters in Arabic language..................................................................3
4. Suggested algorithm...........................................................................13
5. Conclusion............................................................................................16
Chapter 2 Stroke-Based Cursive Character Recognition....................................22
1. Introduction..........................................................................................22
2. Character recognition framework....................................................26
3. Recognition engine..............................................................................33
4. Conclusions..........................................................................................40
Acknowledgements.............................................................................41
Chapter 3 Character Recognition from Virtual Scenes and Vehicle License Plates Using Genetic Algorithms and Neural Networks................46
1. Introduction ...............................................................................46
2. Database................................................................................................48
3. Character region segmentation.........................................................50
4. Feature extraction................................................................................52
5. Character recognition ........................................................................57
6. Genetic algorithm................................................................................60
7. Template matching..............................................................................61
8. Experiments..........................................................................................61
9. Results...................................................................................................62
10. Discussion.............................................................................................63
11. Conclusion............................................................................................64
Chapter 4 Usefulness of Only One User’s Handwritten Character on Offline
Personal Character Recognition.............................................................67
1. Introduction..........................................................................................67
2. Personal offline character recognition system .............................69
3. Generating methods of adaptive personal dictionary ................74
4. Usage of one character by a specific writer and similar
writers ..................................................................................................80
5. Conclusions .........................................................................................89
Acknowledgement .............................................................................90
Chapter 5 SVM Classifiers – Concepts and Applications to Character
Recognition.................................................................................................93
1. Introduction..........................................................................................93
2. Theoretical foundations of the SVM ..............................................94
3. The multiclass classification strategies..........................................102
4. Character recognition experiments ..............................................110
Chapter 6 Online Handwritten Chinese/Japanese Character Recognition...123
1. Introduction........................................................................................123
2. Recognition system overview .......................................................126
3. Structural and un-structural recognitions ...................................127
4. Coarse classification ........................................................................131
5. Combined recognition ....................................................................132
6. String recognition ............................................................................133
7. Conclusion .........................................................................................137
Chapter 7 Character Degradation Model and HMM Word Recognition
System for Text Extracted from Maps...............................................145
1. Introduction........................................................................................145
2. Challenges...........................................................................................147
3. Document Image analysis & map conversion systems:
A brief overview...............................................................................149
4. Proposed system...............................................................................151
5. Experimental results.........................................................................165
6. Summary.............................................................................................168
Chapter 8 Character Recognition with Metasets................................................174
1. Introduction........................................................................................174
2. MetasetsIn...........................................................................................177
3. Character recognition with metasets.............................................186
4. Conclusions........................................................................................197
Chapter 9 Statistical Deformation Model for Handwritten Character Recognition...............................................................................................199
1. Introduction........................................................................................199
2. Statistical deformation model of offl ine handwritten character
recognition..........................................................................................201
3. Statistical deformation model of online handwritten character
recognition..........................................................................................209
4. Conclusion..........................................................................................213
Citation......................................................................................................219
Index...........................................................................................................221
