DESIGN AND IMPLEMENTATION OF A COMPUTERISED FACE DETECTION AND RECOGNITION SYSTEM

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DESIGN AND IMPLEMENTATION OF A COMPUTERISED FACE DETECTION AND RECOGNITION SYSTEM

ABSTRACT

A society with accurate and updated database of her citizens will face less crime. Imagine a society where citizens know that their faces and personal details are kept somewhere by the police or other relevant security agencies. The individual will maintain peace and order as he/she knows any crime committed by him/her will eventually lead to his/her arrest once his/her picture is captured by a secret camera. 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. The system was built with c# and MYSQL with a powerful potential of identifying graphical images uploaded to the system for identification as long as the database is updated with the face prior to retrieval of information.

CHAPTER ONE

1.0 INTRODUCTION

Face recognition system is an application for identifying someone from image or videos. Face recognition is classified into three stages ie)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, security etc.Face Detection is employed for detecting faces from image or from videos. The main goal of face detection is to detect human faces from different images or videos.The face detection algorithm converts the input images from a camera to binary pattern and therefore the face location candidates using the Ada Boost Algorithm. The proposed system explains regarding the face detection based system on Ada Boost Algorithm . Ada Boost Algorithm selects the best set of Haar features and implement in cascade to decrease the detection time .The proposed System for face detection is intended by using Verilog and Model Sim,and also implemented in FPGA

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DESIGN AND IMPLEMENTATION OF A COMPUTERISED FACE DETECTION AND RECOGNITION SYSTEM

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