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CHAPTER
NO:
TITLE PAGE NO:
LIST OF FIGURES
LIST OF ABBREVATIONS
1. INTRODUCTION 1
2. BACKGROUND STUDY 3
2.1 Optical character recognition 3
2.2 Character recognition based on region pixel
concentration for license plate identification
4
2.3 Character optical recognition 6
2.4 Text -to-speech conversion 8
2.5 Optical character recognition 9
2.6 Optical character recognition using artificial neural
network
11
2.7 Optical character recognition techniques: a survey 12
2.8 Design of an optical character recognition system
for camera-based handheld devices
14
2.9 Segmentation of text from image document 15
2.10 A survey on optical character recognition techniques 16
3. SYSTEM DESIGN 18
3.1 Block diagram 18
3.1.1 Camera and image 19
3.1.2 Image scanning 19
3.1.3 Binarization 20
3.1.4 Segmentation 20
3.1.5 Feature extraction 20
3.1.6 Recognition 20
3.1.7 Text analyis with dictionary 20
3.1.8 Selection unit with speech data base 21
3.2 Speech generation module 21
3.2.1 TTS system 22
3.2.2 Concatenative Synthesis 22
3.2.3 Domain Specific Synthesis 22
3.2.4 Creation of Database 23
3.2.5 Character – To – Tone 23
3.2.6 Word –To – Speech 24
4. SOFTWARE USED 25
4.1 Matlab 25
4.1.1 Intoduction 25
4.1.2 Features of matlab 25
5. OPTICAL CHARACTER RECOGNITION 27
5.1 Components of ocr system 28
5.2 Pre-processing 28
5.2.1 Image scanning 28
5.2.2 De-skew 29
5.2.3 Despeckle 30
5.2.4 Binarization 30
5.2.5 Line removal 31
5.2.6 Layout analysis or "zoning 31
5.2.7 Line and word detection 31
5.2.8 Script recognition 31
5.2.9 Character isolation or "segmentation” 31
5.2.10 Normalize aspect ratio and scale 31
5.2.11 Feature extraction 32
5.2.12 Distribution of points 32
5.2.13 Transformations and series expansion 33
5.2.14 Structural analysis 33
5.3 Character recognition 33
5.4 Post-processing 34
6. ALGORITHM AND FLOW CHART 35
6.1 Algorithm 35
6.2 Flowchart 36
6.2.1 Flow chart description 37
7. RESULTS AND DISCUSSIONS 38
7.1 Introduction 38
7.1.1 Optical character recognition 39
7.1.2 Speech synthesis 41
8. ADVANTAGES AND DISADVANTAGES 42
8.1 Advantages 42
8.2 Disadvantages 43
8.2.1 Limited documents 43
8.2.2 Accuracy 43
9. CONCLUSION 44
REFERENCE

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pdf content.PDF

  • 1. CHAPTER NO: TITLE PAGE NO: LIST OF FIGURES LIST OF ABBREVATIONS 1. INTRODUCTION 1 2. BACKGROUND STUDY 3 2.1 Optical character recognition 3 2.2 Character recognition based on region pixel concentration for license plate identification 4 2.3 Character optical recognition 6 2.4 Text -to-speech conversion 8 2.5 Optical character recognition 9 2.6 Optical character recognition using artificial neural network 11 2.7 Optical character recognition techniques: a survey 12 2.8 Design of an optical character recognition system for camera-based handheld devices 14 2.9 Segmentation of text from image document 15 2.10 A survey on optical character recognition techniques 16 3. SYSTEM DESIGN 18 3.1 Block diagram 18 3.1.1 Camera and image 19 3.1.2 Image scanning 19 3.1.3 Binarization 20 3.1.4 Segmentation 20 3.1.5 Feature extraction 20 3.1.6 Recognition 20 3.1.7 Text analyis with dictionary 20 3.1.8 Selection unit with speech data base 21 3.2 Speech generation module 21 3.2.1 TTS system 22
  • 2. 3.2.2 Concatenative Synthesis 22 3.2.3 Domain Specific Synthesis 22 3.2.4 Creation of Database 23 3.2.5 Character – To – Tone 23 3.2.6 Word –To – Speech 24 4. SOFTWARE USED 25 4.1 Matlab 25 4.1.1 Intoduction 25 4.1.2 Features of matlab 25 5. OPTICAL CHARACTER RECOGNITION 27 5.1 Components of ocr system 28 5.2 Pre-processing 28 5.2.1 Image scanning 28 5.2.2 De-skew 29 5.2.3 Despeckle 30 5.2.4 Binarization 30 5.2.5 Line removal 31 5.2.6 Layout analysis or "zoning 31 5.2.7 Line and word detection 31 5.2.8 Script recognition 31 5.2.9 Character isolation or "segmentation” 31 5.2.10 Normalize aspect ratio and scale 31 5.2.11 Feature extraction 32 5.2.12 Distribution of points 32 5.2.13 Transformations and series expansion 33 5.2.14 Structural analysis 33 5.3 Character recognition 33 5.4 Post-processing 34 6. ALGORITHM AND FLOW CHART 35 6.1 Algorithm 35 6.2 Flowchart 36
  • 3. 6.2.1 Flow chart description 37 7. RESULTS AND DISCUSSIONS 38 7.1 Introduction 38 7.1.1 Optical character recognition 39 7.1.2 Speech synthesis 41 8. ADVANTAGES AND DISADVANTAGES 42 8.1 Advantages 42 8.2 Disadvantages 43 8.2.1 Limited documents 43 8.2.2 Accuracy 43 9. CONCLUSION 44 REFERENCE