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NEURAL NETWORKS FOR HANDWRITING DETECTION SYSTEM USING BRAIN NET

  • Type:Project
  • Pages:44
  • Format:Microsoft Word
(Computer Science Project Topics & Materials)
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

NEURAL NETWORKS FOR HANDWRITING DETECTION SYSTEM USING BRAIN NET

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Details

Type Project
Department Computer Science
Project ID CPU1616
Price ₦3,000 ($9)
No of Pages 44 Pages
Format Microsoft Word

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    Details

    Type Project
    Department Computer Science
    Project ID CPU1616
    Price ₦3,000 ($9)
    No of Pages 44 Pages
    Format Microsoft Word

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