ABSTRACT
Recently face recognition is attracting much attention in the society of network multimedia information access. Areas such as network security, content indexing and retrieval, and video compression benefits from face recognition technology because "people" are the center of attention in a lot of video. Network access control via face recognition not only makes hackers virtually impossible to steal one's "password", but also increases the user-friendliness in human-computer interaction. Indexing and/or retrieving video data based on the appearances of particular persons will be useful for users such as news reporters, political scientists, and moviegoers. For the applications of videophone and teleconferencing, the assistance of face recognition also provides a more efficient coding scheme. In this paper, we give an introductory course of this new information processing technology. The paper shows the readers the generic framework for the face recognition system, and the variants that are frequently encountered by the face recognizer. Several famous face recognition algorithms, such as eigenfaces and neural networks, will also be explained.
TABLE OF CONTENTS
CERTIFICATION PAGE
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENTS
CHAPTER ONE
1.0INTRODUCTION
1.1STATEMENT OF PROBLEM
1.2PURPOSE OF STUDY
1.3IMPORTANCE OF STUDY
1.4DEFINITION OF TERMS
1.5ASSUMPTION OF STUDY
CHAPTER TWO
2.0 LITERETURE REVIEW
2.1 TECHNIQUES
2.1.1 TRADITIONAL
2.1.2 3 DIMENSIONAL RECOGNITION
2.1.3 SKIN TEXTURE ANALYSIS
CHAPTER THREE
3.0 FACE RECOGNITION TECHNOLOGY
3.1 EMBEDDED FACE RECOGNITION SYSTEMS
3.2 EFFECTIVENESS
3.3 PRIVACY CONCERNS
3.4 RECENT IMPROVEMENTS
CHAPTER FOUR
4.0 PERFORMANCE EVALUATION METRICS
4.1 GENERIC FRAMEWORK
4.2 PATTERN RECOGNITION
4.3 VARIATIONS IN FACIAL IMAGES
4.4 FACE RECOGNITION ALGORITHMS
4.5 NEURAL NETWORK
CHAPTER FIVE: CONCLUSION
5.1LIMITATION OF STUDY
5.2SUGGESTION FOR FURTHER RESEARCH
5.3 REFERENCES