DESIGN AND IMPLEMENTATION OF FACE DETECTION AND RECOGNITION SYSTEM
ABSTRACT
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. The project implements feature based face recognition system which first finds any face or faces in the color image and then matches it against the database to recognize the individuals. Here, the skin color pixels are used to filter out the interesting regions of human skin from other non- interesting regions. Once the skin regions are located, facial features like mouth, eyebrow and nose are extracted to locate the human face. Then, the detected face from image will be compared with the database of training images to find a match. The project is implemented using Visual Basic and Microsoft Access for database management.
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 ModelSim,and also implemented in FPGA.
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DESIGN AND IMPLEMENTATION OF FACE DETECTION AND RECOGNITION SYSTEM
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