Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Face recognition using gabor wavelet transform
Download
Burcu Kepenekci.pdf
Date
2001
Author
Kepenekci, Burcu
Metadata
Show full item record
Item Usage Stats
141
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/11448
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Face recognition using Eigenfaces and neural networks
Akalın, Volkan; Severcan, Mete; Department of Electrical and Electronics Engineering (2003)
A face authentication system based on principal component analysis and neural networks is developed in this thesis. The system consists of three stages; preprocessing, principal component analysis, and recognition. In preprocessing stage, normalization illumination, and head orientation were done. Principal component analysis is applied to find the aspects of face which are important for identification. Eigenvectors and eigenfaces are calculated from the initial face image set. New faces are projected onto ...
Face recognition using geometric features and template matching
Dede, Erdoğan; Severcan, Mete; Department of Electrical and Electronics Engineering (2000)
Face Recognition Based on Embedding Learning
Karaman, Kaan; Koc, Aykut; Alatan, Abdullah Aydın (2018-09-11)
Face recognition is a key task of computer vision research that has been employed in various security and surveillance applications. Recently, the importance of this task has risen with the improvements in the quality of sensors of cameras, as well as with the increasing coverage of camera networks setup everywhere in the cities. Moreover, biometry-based technologies have been developed for the last three decades and have been available on many devices such as the mobile phones. The goal is to identify peop...
Face symmetry perception in LOC: A study with fMR adaptation
Gökçay, Didem; Yildirim, F.; Yildirim, G. (2014-08-01)
Face identification, gender and age groups classifications for semantic annotation videos
Yaprakkaya, Gökhan; Çiçekli, Fehime Nihan; Department of Computer Engineering (2010)
This thesis presents a robust face recognition method and a combination of methods for gender identification and age group classification for semantic annotation of videos. Local binary pattern histogram which has 256 bins and pixel intensity differences are used as extracted facial features for gender classification. DCT Mod2 features and edge detection results around facial landmarks are used as extracted facial features for age group classification. In gender classification module, a Random Trees classif...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Kepenekci, “Face recognition using gabor wavelet transform,” Middle East Technical University, 2001.