PERSONAL AUTHENTICATION USING 3-D FINGER GEOMETRY
Authors: Aka Possibility
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Natural & Applied Sciences
Computer Science
Research
40 pages
5,184 words
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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
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
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APA
Possibility, A. (2026). PERSONAL AUTHENTICATION USING 3-D FINGER GEOMETRY. Afribary. Retrieved June 14, 2026, from http://library.afribary.com/works/personal-authentication-using-3-d-finger-geometry
MLA
Possibility, Aka. "PERSONAL AUTHENTICATION USING 3-D FINGER GEOMETRY." Afribary, 6 Jun. 2026, http://library.afribary.com/works/personal-authentication-using-3-d-finger-geometry. Accessed June 14, 2026.
Chicago
Possibility, Aka. "PERSONAL AUTHENTICATION USING 3-D FINGER GEOMETRY." Afribary (2026). Accessed June 14, 2026. http://library.afribary.com/works/personal-authentication-using-3-d-finger-geometry