Face Recognition Using Opencv and C#

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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
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Ion Ivan, Ph.D., for his extensive support and academic guidance, as well as Mr. Dan Sabadas for sharing his knowledge and insight.

4|I n t r o d u c t i o n

Chapter Two – Machine Based Facial Detection and Recognition
Over the past decade face detection and recognition have transcended from esoteric to popular areas 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 science area of research, but also the object of neuro-scientific and psychological studies also, mainly because of the general opinion that advances in computer image processing and understanding research will provide insights into how our brain work and vice versa. A general statement of the face recognition problem (in computer vision) can be formulated as follows: given still or video images of a scene, identify or verify one or more persons in the scene using a stored database of faces. Facial recognition generally involves two stages: 1. 2. Face Detection where a photo is searched to find a face, then the image is processed to crop and extract the person’s face for easier recognition. Face Recognition where that detected and processed face is compared to a database of known faces, to decide who that person is.

Since 2002, face detection can be performed fairly easily and reliably with Intel’s open source framework called
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