AUTOMATED UNIVERSITY STUDENTS CLASS ATTENDANCE SYSTEM USING BIO-METRICS

TABLE OF CONTENTS
Title Pages
Cover page
Title page i
Certification ii
Dedication iii
Acknowledgment iv
Abstract v
Table of Contents vi
List of Tables x
List of Figures x
CHAPTER ONE: INTRODUCTION
1.1 BACKGROUND OF THE STUDY 1
1.2 STATEMENT OF THE PROBLEM 3
1.3 AIM AND OBJECTIVES 4
1.4 SCOPE OF THE STUDY 4
1.5 LIMITATION OF THE STUDY 4
1.6 SIGNIFICANCE OF THE STUDY 5
1.7 OPERATIONAL DEFINITION OF TERMS 6
CHAPTER TWO: LITERATURE REVIEW
2.1 WHAT IS BIOMETRICS 7
2.2 HISTORY OF BIOMETRICS 9
2.3 TYPES OF BIOMETRIC DEVICES AVAILABLE 14
2.3.1 RETINA SCANNER 15
2.3.2 IRIS SCANNER 17
2.3.3 FINGERPRINT SCANNER 19
2.3.4 FACIAL BIOMETRICS 22
2.3.5 VOICE RECOGNITION 24
2.3.6 HAND PRINT PATTERNS 24
2.3.7 DNA FINGERPRINT 26
2.3.8 DEEP TISSUE ILLUMINATION 26
2.3.9 VOICE PRINT KEYSTROKE PATTERN 26
2.4 APPLICATION AREAS OF BIOMETRICS 27
2.5 RELATED STUDIES 31
2.6 SUMMARY OF REVIEW 34
CHAPTER THREE: SYSTEM ANALYSIS AND DESIGN
3.1 ANALYSIS OF THE EXISTING SYSTEM 36
3.2 JUSTIFICATIONS OF THE NEW SYSTEM 37
3.3 METHODOLOGY 37
3.4 DATA COLLECTION 39
3.5 THE PROPOSED NEW SYSTEM 39
3.6 DATA STRUCTURE 44
CHAPTER FOUR: SYSTEM IMPLEMENTATION, TESTING AND INTEGRATION
4.1 CHOICE OF PROGRAMMING LANGUAGE 46
4.2 THE SYSTEM MAIN MENU IMPLEMENTATION 47
4.2.1 MAIN MENU 47
4.2.2 ADMIN LOGIN PAGE 48
4.2.3 LECTURER ACTIVATOR SETUP PAGE 49
4.3 IMPLEMENTATION OF THE SUB-SYSTEM 50
4.4 QUERY SUB-SYSTEM IMPLEMENTATION 53
4.5 SYSTEM TESTING AND INTEGRATION 54
4.6 TEST PLAN 54
4.7 TEST DATA 54
CHAPTER FIVE: SUMMARY, CONCLUSION AND RECOMMENDATIONS
5.1 SUMMARY 55
5.2 RECOMMENDATION 56
5.3 CONCLUSION 57
REFERENCES