Date of Award

12-2018

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Engineering and Sciences

First Advisor

Michael King

Second Advisor

Marius Silaghi

Third Advisor

Munnevver Subasi

Fourth Advisor

Philip J. Bernhard

Abstract

In this thesis, we focus on developing a prototype for collecting multispectral images for face recognition. With such application, the quality of the image is an important factor that affects the accuracy of the recognition. However, the sensory data either provided in RGB channel or in NIR channel. The images acquired in RGB and NIR were never aligned in previous developments during my literature study. Thus, I propose an embedded system prototype capable of acquiring NIR and RGB images providing multispectral information which is computation efficient for real time face recognition applications.

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