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Design and Implementation of Face Recognition and Detection System
S

Software Implementation of Face Recognition and Detection System

C.S. Project Software
Reference ID: SD-5253-CS

Software Implementation under Computer Science (CS)

Software Implementation of Face Recognition and Detection System can be acquired by Contacting or Whatsapping Sparklyn Services Software Programmer with the number displayed below 👇

DEDICATION

This research work titled "Design and Implementation of Face Recognition and Detection System" is dedicated to God for his enabling grace and to all computer enthusiasts who help to make life a pleasant experience.



i

ACKNOWLEDGEMENT

I owe my indebtedness to my Supervisor (Name of your Supervisor), the Head of Department (Name of your HOD), the Lecturers in the department of Computer Science (CS), Book Authors and Profound Scholars of existing/related research work for your moral support that facilitated the successful completion of my (Tertiary Institution level). I am grateful to God Almighty and my parent for their financial support in my career. I really appreciate you all for everything, Thank you very much.



ii


Design and Implementation of Face Recognition and Detection System

TABLE OF CONTENTS

Preliminary Pages

CHAPTER ONE

INTRODUCTION

  • 1.1 Introduction
  • 1.2 Background of Study
  • 1.3 Statement of Problem
  • 1.4 Aim and Objectives of the Study
  • 1.5 Significance of Study
  • 1.6 Scope of Study
  • 1.6 Limitations of the Study
  • 1.8 Definition of Terms

CHAPTER TWO

LITERATURE REVIEW

  • 2.1 Introduction
  • 2.2 Conceptual Review of Face Recognition System
  • 2.3 Theoretical Framework
  • 2.3.1 Face Image Detection Model
  • 2.3.2 Face Recognition Information Management
  • 2.3.3 Overview of Face Recognition Database System
  • 2.3.4 Challenges Involved in Face Recognition System
  • 2.4 Relevant Concepts of Imaging Applications
  • 2.5 Empirical Review of Related Literature

CHAPTER THREE

SYSTEM ANALYSIS AND DESIGN

  • 3.1 Methodology Adopted
  • 3.1.1 Problem Identification Using SSADM
  • 3.2 Analysis of the Existing System
  • 3.2.1 Dataflow of the Existing System
  • 3.2.2 Disadvantages Of The Existing System
  • 3.2.3 Weakness of the existing System
  • 3.3 Feasibility Study
  • 3.3.1 Economic Feasibility
  • 3.3.2 Technical Feasibility
  • 3.3.3 Operational Feasibility
  • 3.4 Analysis of the Proposed System
  • 3.4.1 Data Flow Diagram of the Proposed System
  • 3.4.2 Advantages of the Proposed System
  • 3.4.3 Justification of the Proposed System
  • 3.5 Functional Requirements
  • 3.5.1 Use Case Diagram Of The Admin / User Privileges
  • 3.6 Data Requirements
  • 3.7 High Level Model of the Proposed System

CHAPTER FOUR

SYSTEM DESIGN AND IMPLEMENTATION

  • 4.1 Objectives of the Design
  • 4.2 Cohesion and Decomposition High level Model
  • 4.3 Control Center / Overall Dataflow Diagram
  • 4.3.1 Proposed System Operation Flowchart
  • 4.4 System Specification and Design
  • 4.4.1 Input and Output Specification
  • 4.4.2 Database Specification and Design
  • 4.4.3 Data Dictionary
  • 4.5 Choice and Justification of Programming Language
  • 4.6 Program Documentation
  • 4.7 Implementation Techniques
  • 4.8 Programming Module Specification
  • 4.8.1 Installation
  • 4.8.2 Security Design Specification
  • 4.8.3 System Architecture
  • 4.9 Computer Hardware Minimum Requirement
  • 4.10 Software Requirement
  • 4.11 Personnel / User Training

CHAPTER FIVE

SUMMARY, CONCLUSION, AND RECOMMENDATION

  • 5.1 Introduction
  • 5.2 Summary
  • 5.3 Conclusion
  • 5.4 Recommendation

REFERENCES

APPENDIX A - “SOURCE CODE”

APPENDIX B - “OBJECT PROGRAM”




iii

ABSTRACT

Face recognition and detection is an application for identifying, detecting object, analyzing the face, understanding the localization of the face and face recognition. The aim of the study is to design and implement a Face Recognition and Detection System. In achieving this aim, the following specific objectives were laid out as follows to develop an application software that will assist in maintaining a strong security in an organizational work environment, highlight areas of vulnerability in the new system and create a ridged and secure database for the organization to enable them secure their sensitive data and records. The motivation that led to the implementation of the proposed system is as a result of the issues with face detection and recognition system is on individual with identical face like identical twins and others, in situation like this it is possible for the system to make mistake or error in processing the person image so as to grant access to the rightful user. The methodology adopted in this study is the structured system analysis and design methodology (SSADM) which is a technical approach for analyzing and designing an application or system by applying object throughout the software development process. The programming language used is HTML, CSS, JAVASCRIPT, PHP, SQL and JQUERY. The reason why web programming languages was used is because, it is platform independent and it is a web based application. The significance of the proposed system implementation will reduce the rate of fraudulent activities as it can as well keep track of registered users and grant them access upon face recognition completion. This research work will also be of benefit to Enterprises and many large companies like; waste companies, and Power holding companies for identifying their employees. The expected result is a computerized Face Recognition and Detection System that will enable the user capture all the necessary data on staff employment and assessment and present information to management in a meaningful format containing necessary information.





iv


Design and Implementation of Face Recognition and Detection System

CHAPTER ONE

1.1 Introduction

Face recognition and detection is one of the most important fields of the modern applications. Face recognition system uses two sub-systems named face detection system and image database system. Face recognition can be of feature based and image based. Feature based method uses features like skin color, eyes, nose and mouth to detect and recognize human face whereas image based method utilizes some preprocessed image sets for detection. Face recognition system is an application for identifying someone from image or videos. Face recognition is classified into three stages i.e Face detection, Feature Extraction, Face Recognition. Face detection method is a difficult task in image analysis. Face detection is an application for detecting object, analyzing the face, understanding the localization of the face and face recognition. It is used in many application for new communication interface and security. The main goal of face detection is to detect human faces from different images or videos.

As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Limitation of the study and Definition of technical terms.

1.2 Background of Study

Face recognition has gained substantial attention over in past decades due to its increasing demand in security applications like video surveillance and biometric surveillance. Modern facilities like hospitals, airports, banks and many more another organizations are being equipped with security systems including face recognition capability. Despite of current success, there is still an ongoing research in this field to make facial recognition system faster and accurate. The accuracy of any face recognition system strongly depends on the face detection system. The stronger the face detection system the better the recognition system would be. A face detection system can successfully detect human face from a given image containing face/faces and from live video involving human presence.

The main methods used in these days for face detection are feature based and image based. Feature based method separates human features like skin color and facial features whereas image based method used some face patterns and processed training images to distinguish between face and non faces. Feature based method has been chosen because it is faster than image based method and its’ implementation is far more simplified. Face detection from an image is achieved through image processing. Locating the faces from images is not a trivial task; because images not just contain human faces but also non-face objects in clutter scenes. Moreover, there are other issues in face recognition like lighting conditions, face orientations and skin colors. Due to these reasons, the accuracy of any face recognition system cannot be 100%.

Face recognition is a pattern recognition technique and one of the most important biometrics; it is used in a broad spectrum of applications. The accuracy is not a major problem that specifies the performance of automatic face recognition system alone, the time factor is also considered a major factor in real time environments. Recent architecture of the computer system can be employed to solve the time problem, this architecture represented by multi-core CPUs and many-core GPUs that provide the possibility to perform various tasks by parallel processing. However, harnessing the current advancements in computer architecture is not without difficulties. Motivated by such challenge, this research proposes a Face Detection and Recognition System (FDRS). In doing so, this research work provides the architectural design, detailed design, and four variant implementations of the FDRS.

Face recognition is one of the most important biometrics methods. Despite the fact that there are more reliable biometric recognition techniques such as fingerprint and iris recognition, these techniques are intrusive and their success depends highly on user cooperation. Therefore, face recognition seems to be the most universal, non-intrusive, and accessible system. It is easy to use, can be used efficiently for mass scanning, which is quite difficult, in case of other biometrics. Also it is natural and socially accepted. Moreover, technologies that require multiple individuals to use the same equipment to capture their biological characteristics probably expose the user to the transmission of germs and impurities from other users. However, face recognition is completely non-intrusive and does not carry any such health dangers.

1.3 Statement of Problem

Investigation revealed that the issues with face detection and recognition system is on individual with identical face like identical twins and others, in situation like this it is possible for the system to make mistake or error in processing the person image so as to grant access to the rightful user. Faced with the numerous security challenges facing developing nations such as Nigeria, the researcher developed a computerized system where faces are captured and stored in the database for retrieval purposes, should in case faces need to be identified.

1.4 Aim and Objectives of the Study

The aim of the study is to design and implement a Face Recognition and Detection System. In achieving this aim, the following specific objectives were laid out as follows to develop an application software that will:

  1. Assist in maintaining a strong security in an organizational work environment.
  2. Highlight areas of vulnerability in the new system and store all the information using MySQL database.
  3. Enable the user capture all the necessary data on staff employment and assessment.
  4. Present information to management in a meaningful format containing necessary information.
  5. Create a ridged and secure database for the organization to enable them secure their sensitive data and records.

1.5 Significance of Study

This study is primarily aimed at increasing efficiency in security, this research work will help the users in maintaining data. This system will reduce the rate of fraudulent activities as it can as well keep track of registered users and grant them access upon face recognition completion.

Also the knowledge that would be obtained from this research will assist the management to grow; also this research work will also be of help to the upcoming researcher in this field of study both with the academic students on their study.

This study will be of immense benefit to other researchers who intend to know more on this study and can also be used by non-researchers to build more on their research work. This study contributes to knowledge and could serve as a guide for other study.

1.6 Scope of Study

The scope of the research is focused on the Design and Implementation of Face Recognition and Detection System.

1.7 Limitations of the Study

During the course of this study, many things militated against its completion, some of which are:

  1. Time Constraint: The time frame given to accomplish this project was very short due to school academic calendar and it was carried out under pressure which made the researcher not to implement some necessary features.
  2. Research material: availability of research material is a major setback to the scope of the study.
  3. Frequent power failure: This made the researcher append more money on fuel to ensure sustainable power.
  4. Financial Constraint: Insufficient fund tends to impede the efficiency of the researcher in sourcing for the relevant materials, literature or information and in the process of data collection (internet).

1.8 Definition of Terms

Registration: This means to keep records received from the management for reference purposes.

Management: It is the co-ordination of all the resources of an Organization through the process of planning, Organization, directing and controlling

System: Physical component of a computer that is used to perform certain task.

Data: Numbers, Text or image which is in the form suitable for Storage in or processing by a computer, or incomplete information.

Information: A meaning full material derived from computer data by organizing it and interpreting it in a specified way.

CHAPTER TWO

2.0 Literature Review

2.1 Introduction

This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the …

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Final year research work is all about finding real life problem and proffering solution that will partially or totally eliminate the existing system bottlenecks. The following are the major and elective project proposal writing sections for "Design and implementation of face recognition and detection system" research work;

Major Sections
  • Motivation for Embarking on the Project

  • Brief Background of Study

  • Statement of Problems

  • Aim of the Study

  • Specific Objectives of the Study

  • Significance of the Study (Who benefits from the project and how?)

Elective Sections
  • Methodology and Reason for Using It (such as; models, SSADM, or OOADM)

  • Tools (programming languages and software used)



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Proposal Writing Format for Computer Science Research Work


Design and Implementation of Face Recognition and Detection System is a proposal topic for final year research work, which comprises the major and elective project proposal writing sections for Design and Implementation of Face Recognition and Detection System research work.

Major Sections
  • Motivation for Embarking on the Project

  • Brief Background of Study

  • Statement of Problems

  • Aim of the Study

  • Specific Objectives of the Study

  • Significance of the Study (Who benefits from the project and how?)

Elective Sections
  • Methodology and Reason for Using It (such as; models, SSADM, or OOADM)

  • Tools (programming languages and software used)


Defense Procedure for Computer Science Researchers


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  • Abstract

CHAPTER ONE

  • Motivation / Statement of Problems
  • Aims & Objective of Study
  • Scope of Study
  • Significance of Study

CHAPTER TWO

  • State two or more citation from your review of related literature.

CHAPTER THREE

  • Know the methodologies, tools and techniques used.

CHAPTER FOUR

  • Justification of your work and things to adhered to before using the system or research work.

CHAPTER FIVE

  • Conclusion and Recommendation

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