Face Recognition Using Opencv and C#
Academy of Economic Studies
- Faculty of Cybernetics, Statistics and Business Informatics -
Master Thesis
Scientific Coordinator Prof. Ion IVAN, Ph.D.
Graduate Valentin-Petruţ SUCIU
– Bucharest 2011 –
Academy of Economic Studies
- Faculty of Cybernetics, Statistics and Business Informatics -
!!! DRAFT !!!
Master Thesis
Secure Face Recognition and User Access
!!! DRAFT !!!
Scientific Coordinator Prof. Ion IVAN, Ph.D.
Graduate Valentin-Petruţ SUCIU
-
Bucharest 2011 -
Contents
Introduction 1. Machine Based Facial Detection and Recognition 1.1 Computer Vision 1.2 Object Detection 1.3 Image Quality 1.4 Facial Recognition Approaches 2. Proposed Solution 2.1 Data Preparation 2.2 Recognition Logic and Algorithms 2.3 Database Structure 2.4 Front End Applications 2.5 Defining Tests 3. The Implementation Process 3.1 Setting Up the Development Environment 3.2 Core Programming 3.3 Windows Application 3.4 Database Organization 3.5 Testing and Fine Tuning 4. Results and Future Direction 4.1 Result Analysis 4.2 Improvements 4.3 Conclusions 4.4 Define Future Picture References Annex 1 – Tables and Figures Annex 2 – Acronyms
Introduction
The goal of this thesis is to come up with an easier human-machine interaction when user authentication is needed through face detection and recognition. With the aid of a regular web camera, a machine is able to detect and recognize a person’s face; a custom login screen with the ability to filter user access based on the users’ facial features will be developed. The necessity of this project came from the growing interest in computer vision of the past decade. Fueled by the steady doubling rate of computing power every 13 months, face detection and recognition has transcended from an esoteric to a popular area of research in computer vision and one of the better and successful applications of image analysis and algorithm based understanding. Because of the intrinsic nature of the problem, computer vision is not only a computer
- Faculty of Cybernetics, Statistics and Business Informatics -
Master Thesis
Scientific Coordinator Prof. Ion IVAN, Ph.D.
Graduate Valentin-Petruţ SUCIU
– Bucharest 2011 –
Academy of Economic Studies
- Faculty of Cybernetics, Statistics and Business Informatics -
!!! DRAFT !!!
Master Thesis
Secure Face Recognition and User Access
!!! DRAFT !!!
Scientific Coordinator Prof. Ion IVAN, Ph.D.
Graduate Valentin-Petruţ SUCIU
-
Bucharest 2011 -
Contents
Introduction 1. Machine Based Facial Detection and Recognition 1.1 Computer Vision 1.2 Object Detection 1.3 Image Quality 1.4 Facial Recognition Approaches 2. Proposed Solution 2.1 Data Preparation 2.2 Recognition Logic and Algorithms 2.3 Database Structure 2.4 Front End Applications 2.5 Defining Tests 3. The Implementation Process 3.1 Setting Up the Development Environment 3.2 Core Programming 3.3 Windows Application 3.4 Database Organization 3.5 Testing and Fine Tuning 4. Results and Future Direction 4.1 Result Analysis 4.2 Improvements 4.3 Conclusions 4.4 Define Future Picture References Annex 1 – Tables and Figures Annex 2 – Acronyms
Introduction
The goal of this thesis is to come up with an easier human-machine interaction when user authentication is needed through face detection and recognition. With the aid of a regular web camera, a machine is able to detect and recognize a person’s face; a custom login screen with the ability to filter user access based on the users’ facial features will be developed. The necessity of this project came from the growing interest in computer vision of the past decade. Fueled by the steady doubling rate of computing power every 13 months, face detection and recognition has transcended from an esoteric to a popular area of research in computer vision and one of the better and successful applications of image analysis and algorithm based understanding. Because of the intrinsic nature of the problem, computer vision is not only a computer