ABSTRACT
In this project, a biometric authentication system based on measurements of the user's three-dimensional (3-D) hand geometry is proposed. The system relies on a novel real-time and low-cost 3-D sensor that generates a dense range image of the scene. By exploiting 3-D information we are able to limit the constraints usually posed on the environment and the placement of the hand, and this greatly contributes to the unobtrusiveness of the system. Efficient, close to real-time algorithms for hand segmentation, localization and 3-D feature measurement are described and tested on an image database simulating a variety of working conditions. The performance of the system is shown to be similar to state-of-the-art hand geometry authentication techniques but without sacrificing the convenience of the user.
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
