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- No of Pages: 44

- No of Chapters: 05

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Introduction:

Abstract

Handwriting recognition is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices. The image of the written text may be sensed "off line" from a piece of paper by optical scanning (optical character recognition) or intelligent word recognition. Alternatively, the movements of the pen tip may be sensed "on line", for example by a pen-based computer screen surface. Handwriting recognition principally entails optical character recognition. However, a complete handwriting recognition system also handles formatting, performs correct segmentation into characters and finds the most plausible words.

Table of Content

TITLE PAGE

CERTIFICATION

APPROVAL

DEDICATION

ACKNOWLEDGEMENTS

ABSTRACT

TABLE OF CONTENTS



CHAPTER ONE

1.0 INTRODUCTION

1.1 STATEMENT OF PROBLEM

1.2 PURPOSE OF STUDY

1.3 AIMS AND OBJECTIVES

1.4 SCOPE OF STUDY

1.5 LIMITATIONS

1.6 DEFINITION OF TERMS



CHAPTER TWO

2.0 LITERATURE REVIEW

CHAPTER THREE

3.0 METHODS FOR FACT FINDING AND DETAILED DISCUSSIONS OF THE SYSTEM

3.1 METHODOLOGIES FOR FACT-FINDING

3.2 DISCUSSIONS



CHAPTER FOUR

4.0 FUTURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM

4.1 FUTURES

4.2 IMPLICATIONS

4.3 CHALLENGES



CHAPTER FIVE

5.0 SUMMARY, RECOMMENDATIONS AND CONCLUSION

5.1 SUMMARY

5.2 RECOMMENDATION

5.3 CONCLUSION

REFERENCES

Introduction

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