AU  - Ayodeji,Ipinnimo Oluwaseyi
AU  - Supervisor: Dereboylu, Ziya 
TI  - Security system based on real time face recognition
PY  - 2014///
CY  - Nicosia
PB  - Cyprus International University
KW  - Yerleşik sistem
KW  - Embedded system
KW  - Yüz tanıma
KW  - Face recognition
N1  - Includes references (76-82 p.); 1; CHAPTER 1; 1; INTRODUCTION; 2; BIOMETRIC SYSTEM; 3; Applications; 3; Biometric error; 4; INTRODUCTION TO FACE RECOGNITION; 5; Problem that may occur during face recognition; 5; Scale invariance; 5; Shift invariance; 6; Illumınatıon invariance; 6; Emotional expression and detail invariance; 6; Noise invariance; 7; GOAL; 7; OVERVIEW; 8; CHAPTER 2; 8; LITERATURE SURVEY; 8; INTRODUCTION; 8; FACE DETECTION; 9; Skin tone face detection; 11; Viola-jones face detection algorithm; 11; Local SMQT based face detection; 14; FACE RCOGNITION; 14; Background and related work; 16; Outline of a typical face recognition system; 16; The Image acquisition module; 17; The pre-processing module; 19; The feature extraction module; 19; The classification module; 19; Tranning set; 20; Face Library or Face database; 20; Coventional techniques in face recognition; 20; Correlation; 21; Linear Discriminant  Analysis; 23; Independent Component Analysis; 24; Other conventional methods for face recognition; 25; Local features analysis; 26; Nonnegative matirx factorization; 27; Increments nonnegative matrix factorization; 29; Histogram based method for face recognition; 29; Local binary pattern for face recognition; 30; PDF based face recognition system; 32; CHAPTER 3; 32; FACE RECOGNITION USING PCA; 32; INTRODUCTION; 37; EIGENFACES CALCULATION; 42; USING EIGENFACES TO CALSSIFY A FACE IMAGE; 43; REBUILDING A FACE IMAGE WITH EIGENFACES; 46; CHAPTER 4; 46; EMBEDDED SYSTEM; 46; INTRODUCTION; 46; EMBEDDED SYSTEM; 48; EMBEDDED SYSTEM USED IN THIS RESEARCH; 48; De-bounced switch; 49; The switching circuit (LCD); 50; Electric Lock; 50; Liquid Crystal Display (LCD); 52; Microcontroller (UC) PIC18F4550; 53; Overview of the USB peripheral; 54; USB Status and Control; 55; IMPLEMENTATION OF THE ES; 56; Communication with the ES; 57; CHAPTER 5; 57; TESTING AND RESULT; 57; DATA SETS; 57; AT & T database of faces(formerly known as ORL database of faces ); 58; Face Recognition data, university of ESSEX, UK; 58; Personal data set; 58; SYSTEM HARDWARE FOR TESTING; 59; SYSTEM SOFTWARE FOR TESTING; 60; TEST RESULT FOR AT&T DATABASE OF FACES; 62; TEST RESULT FOR ESSEX DATA SET; 64; TEST WITH PERSONAL DATA SET WITH  NO FACE DETECTION; 69; TEST WITH PERSONAL DATA SET WITH FACE DETECTION; 71; OVERALL TEST OF THE SYSTEM; 73; CHAPTER 6; 73; CONCLUSION AND FURTHER RESEARCH; 73; CONCLUSION; 74; FURTHER RESEARCH; 76; REFERENCES
N2  - 'ABSTRACT Automatic recognition of people has received much attention during the recent years due to its many applications in different fields such as law enforcement, security applications or video indexing. Face recognition is an important and very challenging technique to automatically recognize people's face. Face recognition systems play a vital role in many applications including surveillance, biometrics and security as the rapid development of computer science and pattern recognition, visual technology is widely applied in industry and daily life. The goal of this research is to implement face recognition on a real life platform for security system. The software should be able to take an image of a person through the camera connected to the USB of a computer, recognize the individual based on previously stored samples and grant access or deny access through a device connected to another port of the same computer. The method that will be considered is principal component analysis (PCA) method for face recognition. A database of trained images is stored on the computer for recognizing a test image. The image from the camera is resized and cropped with MATLAB. This image is further processed by comparing it with images in the database. If it matches any of the images in the database, a signal is sent to a device connected to another USB port (Embedded system) to grant access for the person that the image is taken from. If the image does not match any of the images in the database then, the accessis denied for the person.  Key words: Face recognition, PCA, Embedded system'
ER  -