Date of Award

Winter 12-2019

Document Type

Thesis

Degree Name

Bachelor Degree

Department

Mechatronics, System Engineering and Robotics

First Advisor

Bertan Karahoda

Language

English

Abstract

Since traditional students’ attendance system has been known to be time consuming, not accurate and a hard process to follow, this thesis will try to provide a method for solving this problem.

Facial recognition system has started to become widespread over this past decade and the main interest in many industries. Law enforcement agencies are using face recognition to keep communities safer. Retailers are preventing crime and violence. Airports are improving travelers’ convenience and security. And mobile phone companies are using face recognition to provide consumers with new layers of biometric security.

In this thesis another usage of face recognition system is proposed. Using some Computer Vision algorithms, one will try to develop a face recognition system for managing students’ attendance. Taking pictures from laptops camera a data set of 150 pictures will be created, 50 for each student and the system will be trained. One technique for face detection will be proposed based on Haar features and another one for face recognition specifically Local binary patterns histograms. Results from validation data set will also be provided.

DOI

10.33107/ubt-etd.2019.2289

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