FACE DETECTION &

RECOGNITION SYSTEM

A Project By:Madiha AsgharRamsha ArifYumna FurqanZara Tariq

(A Real Time Face Detection & Recognition System)

Introduction Face Detection and Recognition System (FDRS) is a physical

characteristics recognition technology, using the inherent physiological features of humans for ID recognition. The technology does not need to be carried about and will not be lost, so it is convenient and safe for use

There are two general applications of FDRS, one is called identification and another one is called verification.

Face identification means given a face image, we want the system to tell who he / she is or the most probable identification

Face verification means given a face image and a guess of the identification, we want the system to telltrue or false about the guess.

Major Objectives

Save Images To Database Detect Faces Match detected faces to Database Recognize Faces Provides accurate information about them

Scope

A method is to be composed of three parts: face detection, face extraction and face recognition.

To proposed such a method that illustrates the robustness against the appearance, variations of expression, lightening and presence/absence of accessories.

Performance of proposed method will be tested upon the standard face database namely YALE database.

Extensive experiments are yet to be apply to demonstrate the effectiveness of method.

Project Specification

Tools & Technology Operating System: Windows 7; 32-bit AND 64-bit Hardware Requirement: 4GB-RAM, WebCam Development Tool: MS Visual Studio 2013, MS Access 2013 Programming Language: C# Computer Vision Library: Open CV- EmguCV Library

Major Algorithm PCA- Eigen Facing Algorithm

Key Milestones

Future Work

Integrate the face application with database Match the detected face to the stored faces Point out the major face features Gives an accurate result Apply some more elements regarding recognition Improve the interface Testing and Deployment