Face recognition using neural network
Dissertant
University
University of Technology
Faculty
-
Department
Department of Computer Engineering
University Country
Iraq
Degree
Ph.D.
Degree Date
2004
English Abstract
Human faces are very similar in structure, with minor differences from person to person.
Furthermore, lighting condition changes, facial expressions, and pose variations further complicate the face recognition task, This thesis presents an efficient and low complexity hybrid approach to face recognition, which combines image preprocessing based on histogram equalization, wavelet transform and multi- neural networks. A face preprocessing approach is a histogram equalization to improve contrast and compensates for differences in camera input gains.
The preprocessed image is compressed to reduce the number of input pixels by using the wavelet transform to speed up the system and provide in variance to minor changes in the image samples. Multi-neural networks must be trained to deal with alt remaining variation (rotation, scale and deformation).
The outputs from multiple recognize must be combined into a single decision unit, that decide the classified face and associated information which is already stored in the database. The system recognize stimulus images correctly without being affected by shift in position, rotation, scaling, or by distortion in shape of these images because of using the arbitrate structure.
The system also recognizes images with changes in angle and express ion.
Small set of images per person in the training database is needed to produce acceptable classification accuracy.
The results obtained show that the proposed system gives a very encouraging performance. The proposed system structure was implemented as a software package "sing C++and visual Basic.
Main Subjects
Information Technology and Computer Science
Topics
American Psychological Association (APA)
al-Fahdawi, Khamis A. Zaydan. (2004). Face recognition using neural network. (Doctoral dissertations Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-306075
Modern Language Association (MLA)
al-Fahdawi, Khamis A. Zaydan. Face recognition using neural network. (Doctoral dissertations Theses and Dissertations Master). University of Technology. (2004).
https://search.emarefa.net/detail/BIM-306075
American Medical Association (AMA)
al-Fahdawi, Khamis A. Zaydan. (2004). Face recognition using neural network. (Doctoral dissertations Theses and Dissertations Master). University of Technology, Iraq
https://search.emarefa.net/detail/BIM-306075
Language
English
Data Type
Arab Theses
Record ID
BIM-306075
