CoverPage_Theiss

8/7/2019 CoverPage_Theiss

1/8

FINGERPRINT RECOGNITION BY MINUTIAMATCHING

Dilruba SharmeenStudent ID: 06310047

Department of Computer Science and EngineeringJanuary 2008


2/8

ii

DECLARATION

In accordance with the requirements of the degree of Bachelor of

Electronics and Communication Engineering in the Division of ComputerScience and Engineering, I am presenting this thesis paper entitled,FINGERPRINT RECOGNITION BY MINUTIA MATCHING. This projecthas been performed under the supervisor of Dr. Tarik Ahmed Chowdhury.

I hereby declare that this thesis is based on the results found by

myself. Materials of work found by other researcher are mentioned by

reference. This thesis, neither in whole nor in part, has been previously

submitted for any degree.Signature of Signature ofSupervisor Author

(Dr. Tarik Ahmed Chowdhury)


3/8

iii

ACKNOWLEDGMENTS

At first my heartiest gratitude goes to Almighty Allah, without his

divine blessing it would not be possible for me to complete this project

successfully. To make the thesis feasible and giving the opportunity to

work on such a different and experimental project I would like to express

my great gratefulness towards my supervisor Dr. Tarik Ahmed Chowdhury

who has given me suggestion, support and assist to a great extent at all

times.

I also would like to thank all others who gave me support for the

thesis or in other aspects of my study at BRAC UNIVERSITY.

Author: Dilruba Sharmeen


4/8

iv

ABSTRACT

In this thesis a current technique for fingerprint recognition has

been investigated. It includes image preprocessing, feature extraction,

post processing and feature match. For each sub-task some methods like-

Image enhancement, image binarization, image segmentation and some

morphological operations has analyzed. Based on the analysis, an

integrated solution for fingerprint recognition is developed for

demonstration.

The demonstration program has coded using MATLAB 7.1. The

performances have shown by experiments conducted upon a variety of

fingerprint images. Also, the experiments illustrate the key issues of

fingerprint recognition that are consistent with this conversation.


5/8

v

TABLE OF CONTENTS

Title Page

Declaration ii

Acknowledgements iii

Abstract iv

Table of Contents v- vi

List of Tables vii

List of Figure viii

Chapter 1 1

1.0 Introduction 1

1.1 Introduction to Biometrics 1

1.1.1 Biometric System 1

1.1.2 Why Fingerprints are so Good for use in Biometrics? 2-3

1.2. Introduction to Fingerprints 4

1.2.1 What is a Fingerprint? 4

1.3 Fingerprint Patterns 6

1.4 What is Fingerprint Recognition? 7

1.4.1 What is the scheme to avoid False Rejection in a Fingerprint Authentication? 9

1.4.2 How do wounds affect Fingerprint Recognition? 9

1.5 Three Approaches for fingerprint Recognition 9

Chapter 2

2.0 Minutia based other Techniques 12

2.1 Direct gray-Scale Minutia Extraction 12

2.2 Minutia Matching with Pre-Alignment 13-14

2.3 Minutia Matching Avoiding Alignment 15

Chapter 3

3.0 System Design 16

3.1 System Level Design 16

3.1.1 Fingerprint Sensing and Storage 16-17

3.1.2 Which type of Sensor is the best? 18

3.2 Algorithm Level Design 18


6/8

vi

Chapter 4

4.0 Fingerprint Image Pre-Processing 21

4.1 Fingerprint Image Enhancement 21-25

4.2 Fingerprint Image Binarization 25-26

4.3 Fingerprint Image Segmentation 26

4.3.1 Morpholpgy 27

Chapter 5

5.0 Minutia Extraction 28

5.1 Fingerprint Ridge Thinning 28

5.2 Connected Component-Labeling 29

5.3 Minutia Marking 30

5.4 Average Inter Ridge Width 31

Chapter 6

6.0 Fingerprint Image Post-Processing 32

6.1 False Minutia Removal 32-36

6.2 Unify Minutia Representation Feature Vectors 36

Chapter 7

7.0 Minutia Match 39

7.1 Match Period 39

7.1.1 Alignment Stage 39-41

7.1.2 Match Stage 42

Chapter 8

8.0 Performance Measurement 43-44

8.1 Experimentation Results 45

8.1.1 Evaluation for Changed Images 45-47

8.1.2 Evaluation for Different Images 47-49

Chapter 9

9.0 Conclusion 50

9.1 Future Work 50

References

51


7/8

vii

LIST OF TABLESTable PageTable1: Match results of Changed Images 46-47

Table2:Match results of Different Images. 48


8/8

viii

LIST OF FIGURES

No of FIGURES

Figure- 1.1.1 02

Figure- 1.2.1 04

Figure- 1.2.2 06

Figure- 1.2.3 06

Figure- 1.3.1 07

Figure- 1.4.0 07

Figure- 2.1.1 12

Figure- 2.1.2 13Figure- 3.1.0 16

Figure- 3.1.1 17

Figure- 3.2.1 19

Figure- 3.2.2 19

Figure- 4.1.1 22

Figure- 4.1.2 23

Figure- 4.1.3 24

Figure- 4.2.1 26

Figure- 4.3.1 27

Figure- 5.1.1 28

Figure- 5.2.1 30

Figure- 5.3.1 31

Figure- 5.3.2 31

Figure- 6.1.1 33

Figure- 6.1.2 33

Figure- 6.1.3 35

Figure- 6.1.4 36

Figure- 6.2.1 37

Figure- 6.2.2 38

Figure- 8.1.1 45

Figure- 8.2.1 47

Page No

Documents

CoverPage_Theiss