EXTRACTING DATA FROM PUBLISHED GRAPHS

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