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Face Recognition System

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abdullah alhamdan

on 17 December 2013

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Transcript of Face Recognition System

Face Recognition System
SV : DR.Abdul Adeel Mohammed
Abdullah AlAbdullatif & Abdullah AlHmadan
INTRODUCTION
In today's Digital world, the need to maintain the security of information or physical property is becoming both increasingly important and increasingly difficult.

face recognition one of the solutions that used to maintain the security of information.
Face Recognition
A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image.
One of the ways to do this is by comparing selected facial features from the image and a facial database.
Face Detection

The purpose of the face detection module is

face localization
face alignment
Face Verification
The face verification module consists
in two steps:
feature extraction
classification.
Algorithm
Local Binary Pattern
This model contains information on three different levels LBP code labels for the local histograms (pixel level), local histograms(region level) and a concatenated histogram which builds a global description of the face image(image level).
Sketch of a Pattern Recognition Architecture :
Outline
INTRODUCTION
Face Recognition
Face Detection
Face Verification
Algorithm
UML Scheme
Challenges
Demo
Challenges
Scope
END
implement system on pc.
in C++ with OpenCV .
Applications
Access Control
Surveillance
Security
Others
Thank you for listening
Any question?
Adapted Local Binary Pattern
It is new generative model for face authentication, based on a LBP description of the face
USE CASE DIAGRAM :
ACTIVITY DIAGRAMS :
New Record :
Request Matching:
Sequence Diagrams
New Record :
Request Matching:
Our System :
Our system is two steps verifecation

Password
Face recognition
DEMO
Full transcript