COMING SOON! PQDT Open is getting a new home!

ProQuest Open Access Dissertations & Theses will remain freely available as part of a new and enhanced search experience at

Questions? Please refer to this FAQ.

Dissertation/Thesis Abstract

Face Recognition Technique for Blurred/Unclear Images
by Visweswaran, Krishnan, M.S., California State University, Long Beach, 2017, 33; 10263528
Abstract (Summary)

The purpose of this project is to invalidate the existing methods for performing facial recognition. Facial recognition considers many aspects before its actual operations are performed. Many situations must also be considered such as the angle of the camera, the aspect ratio and motion of the object with respect to the camera, and the shutter speed of the camera. There are many techniques that have been implemented for face recognition, but many of these techniques have problems recognizing a blurred image. These detection problems can be eliminated by using three algorithms: illumination, blurring, and pose. These algorithms will sequentially be more effective than the existing methods and will prove a definite solution for facial recognition in a blurred state.

Indexing (document details)
Advisor: Yeh, Hen-Geul
Commitee: Khoo, I-Hung, Tsang, Chit-Sang
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 56/04M(E), Masters Abstracts International
Subjects: Engineering, Electrical engineering
Keywords: Blur, Database, Face recognition, Illumination, Image processing, Pose
Publication Number: 10263528
ISBN: 978-1-369-80505-5
Copyright © 2021 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy