Signature verification based on a feature extraction technique


Master's Thesis, 2012

59 Pages, Grade: 10


Excerpt


Table Of Contents.

List Of Figures

List Of Tables.

List Of Acronyms

Chapter 1 Introduction
1. Introduction
1.2 Problem Motivation
1.3 Biometrics Introduction
1.3.1 Past
1.3.2 Present
1.3.3 Future
1.4 Personal Biometric Criteria
1.5 Biometric System-Level Criteria
1.6 Performance parameters
1.7 Thesis outline

CHAPTER 2 Introduction to Signature Verification
2. Introduction
2.1 Pattern recognition
2.2 Feature extraction
2.3 Handwritten signatures
2.3.1 On-line and off-line signatures
2.4 Forgery types
2.4.1 Random forgeries
2.4.2 Simple forgeries
2.4.3 Skilled forgeries
2.5 Writer-dependent and writer-independent verification
2.6 Objectives

Chapter 3 Literature survey
3.1 Texture Analysis
3.1.1Inspection
3.1.2 Medical Image Analysis
3.2 Signature verification
3.3 Gray level run length encoding

Chapter 4 Problem Definition and Methodology
4. Introduction
4.1 Problem Definition
4.2 Steps Involved
4.2.1Signature enrolment
4.2.2 Obtaining region of interest
4.2.3 Feature extraction
4.2.4 Definition of the Run-Length Matrices
4.2.5 Calculation of Euclidean Distances
4.2.6 Creation of the known signature template.
4.2.7 Signature Verification
4.3 Measurement of the Signature Verifier Accuracy
4.4 Proposed Algorithm using Euclidean distance

Chapter 5 Experiment and Results
5. Introduction The simple statistical approach :
5.1.1 Examples of verified signatures:
5.2 Euclidean distance model
5.2.1 Threshold

Chapter 6 Conclusion
6.1 Conclusion

Chapter 7 Future work
7.1 Future work

References

Figure References

Excerpt out of 59 pages

Details

Title
Signature verification based on a feature extraction technique
Grade
10
Author
Year
2012
Pages
59
Catalog Number
V376136
ISBN (eBook)
9783668541535
ISBN (Book)
9783668541542
File size
972 KB
Language
English
Keywords
signature, Offline signature verification, texture based verification, Handwritten signatures
Quote paper
Saba Mushtaq (Author), 2012, Signature verification based on a feature extraction technique, Munich, GRIN Verlag, https://www.grin.com/document/376136

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