ABSTRACT
Published graphs in digital documents contain important information. Often, the results of scientific experiments and performance of businesses are summarized using plots. Although graphs are easily understood by human users, current search engines rarely utilize the information contained in the plots to enhance the results returned in response to queries posed by end users.
We propose an automated algorithm for extracting information from line curves in graphs. The extracted information can be stored in a database and indexed to answer end-user queries and enhance search results. We have collected graphs images from a variety of resources and tested our extraction algorithms. Experimental evaluation has demonstrated that our method can produce results suitable for real world use.
TABLE OF CONTENT
TITLE PAGE
CERTIFICATION
APPROVAL
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENT
CHAPTER ONE
1.0INTRODUCTION
1.1STATEMENT OF PROBLEM
1.2PURPOSE OF STUDY
1.3AIMS AND OBJECTIVES
1.4SCOPE/DELIMITATIONS
1.5LIMITATIONS/CONSTRAINTS
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
5.0RECOMMENDATIONS, SUMMARY AND CONCLUSION
5.1RECOMMENDATION
5.2SUMMARY
5.3CONCLUSION
5.4REFERENCES
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