NEURAL NETWORKS FOR HANDWRITING DETECTION SYSTEM USING BRAIN NET

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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

1.0INTRODUCTION

1.1STATEMENT OF PROBLEM

1.2PURPOSE OF STUDY

1.3AIMS AND OBJECTIVES

1.4SCOPE OF STUDY

1.5LIMITATIONS

1.6DEFINITION OF TERMS

CHAPTER TWO

2.0LITERATURE REVIEW

CHAPTER THREE

3.0METHODS FOR FACT FINDING AND DETAILED DISCUSSIONS OF THE SYSTEM

3.1 METHODOLOGIES FOR FACT-FINDING

3.2DISCUSSIONS

CHAPTER FOUR

4.0FUTURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM

4.1FUTURES

4.2IMPLICATIONS

4.3CHALLENGES

CHAPTER FIVE

5.0SUMMARY, RECOMMENDATIONS AND CONCLUSION

5.1SUMMARY

5.2RECOMMENDATION

5.3CONCLUSION

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NEURAL NETWORKS FOR HANDWRITING DETECTION SYSTEM USING BRAIN NET

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