ABSTRACT
In this work we describe a new approach to dynamic signature verification using the discriminative training framework. The authentic and forgery samples are represented by two separate Gaussian Mixture models and discriminative training is used to achieve optimal separation between the two models. An enrollment sample clustering and screening procedure is described which improves the robustness of the system. We also introduce a method to estimate and apply subject norms representing the "typical": variation of the subject's signatures. The subject norm functions are parameterized, and the parameters are trained as an integral part of the discriminative training. The system was evaluated using 480 authentic signature samples and 260 skilled forgery samples from 44 accounts and achieved an equal error rate of 2.25%.
TABLE OF CONTENT
TITLE PAGE
CERTIFICATION
APPROVAL
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENT
CHAPTER ONE
1.0 INTRODUCTION
1.1 STATEMENT OF PROBLEM
1.2 PURPOSE OF STUDY
1.3 AIMS AND OBJECTIVES
1.4 SCOPE/DELIMITATIONS
1.5 LIMITATIONS/CONSTRAINTS
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
Disclaimer: Note this academic material is intended as a guide for your academic research work. Do not copy word for word. Note: For Computer or Programming related works, some works might not contain source codes
CITE THIS WORK
(2014, 08). Dynamic Signature Verification Using Pattern Recognition.. ProjectStoc.com. Retrieved 08, 2014, from https://projectstoc.com/read/2837/dynamic-signature-verification-using-pattern-recognition-6209
"Dynamic Signature Verification Using Pattern Recognition." ProjectStoc.com. 08 2014. 2014. 08 2014 <https://projectstoc.com/read/2837/dynamic-signature-verification-using-pattern-recognition-6209>.
"Dynamic Signature Verification Using Pattern Recognition.." ProjectStoc.com. ProjectStoc.com, 08 2014. Web. 08 2014. <https://projectstoc.com/read/2837/dynamic-signature-verification-using-pattern-recognition-6209>.
"Dynamic Signature Verification Using Pattern Recognition.." ProjectStoc.com. 08, 2014. Accessed 08, 2014. https://projectstoc.com/read/2837/dynamic-signature-verification-using-pattern-recognition-6209.
- Related Works
- College Management System
- Digital Water Marking For Video Piracy
- Performance Evaluation Distance Routing Algorithm In Manet
- Design And Implementation Of A Computerized Modern Poultry Farm (a Case Study Imo Poultry Farm Ltd)
- Compound Interest Calculation System In Retail Bank
- Design And Implementation Of A Computerized Information Management System In Seismic Data Processing
- Distributed Collaborative Key Agreement And Authentication Protocol For Dynamic Peer Group
- Intrusion Detection In Wireless Ad Hoc Network
- Design And Implementation Of A Digital Library System
- Design And Implementation Of A Database Management Software For A Confectionery Business