10.1.1.100.6259 - FACE RECOGNITION USING GABOR WAVELET...

Info iconThis preview shows pages 1–6. Sign up to view the full content.

View Full Document Right Arrow Icon
FACE RECOGNITION USING GABOR WAVELET TRANSFORM A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL SCIENCES OF THE MIDDLE EAST TECHNICAL UNIVERSITY BY BURCU KEPENEKCI IN PARTIAL FULLFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN THE DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING SEPTEMBER 2001
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
ii ABSTRACT FACE RECOGNITION USING GABOR WAVELET TRANSFORM Kepenekci, Burcu M.S, Department of Electrical and Electronics Engineering Supervisor: A. Aydın Alatan Co-Supervisor: Gözde Bozda & ı Akar September 2001, 118 pages Face recognition is emerging as an active research area with numerous commercial and law enforcement applications. Although existing methods performs well under certain conditions, the illumination changes, out of plane rotations and occlusions are still remain as challenging problems. The proposed algorithm deals with two of these problems, namely occlusion and illumination changes. In our method, Gabor wavelet transform is used for facial feature vector construction due to its powerful representation of the behavior of receptive fields
Background image of page 2
iii in human visual system (HVS). The method is based on selecting peaks (high- energized points) of the Gabor wavelet responses as feature points. Compared to predefined graph nodes of elastic graph matching, our approach has better representative capability for Gabor wavelets. The feature points are automatically extracted using the local characteristics of each individual face in order to decrease the effect of occluded features. Since there is no training as in neural network approaches, a single frontal face for each individual is enough as a reference. The experimental results with standard image libraries, show that the proposed method performs better compared to the graph matching and eigenface based methods. Keywords: Automatic face recognition, Gabor wavelet transform, human face perception.
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
iv ÖZ GABOR DALGACIKLARINI KULLANARAK YÜZ TANIMA Kepenekci, Burcu Yüksek Lisans, Elektrik Elektronik Mühendisli & i Bölümü Tez Yöneticisi: A. Aydın Alatan Yardımcı Tez Yöneticisi: Gözde Bozda & ı Akar Eylül 2001, 118 sayfa Yüz tanıma günümüzde hem ticari hem de hukuksal alanlarda artan sayıda uygulaması olan bir problemdir. Varolan yüz tanıma metodları kontrollü ortamda ba ± arılı sonuçlar verse de örtme, yönlenme, ve aydınlatma de & i ± imleri hala yüz tanımada çözülememi ± üç problemdir. Önerilen metod ile bu üç problemden aydınlanma de & i ± imleri ve örtme etkisi ele alınmı ± tır. Bu çalı ± mada hem yüze ait öznitelik noktaları hem de vektörleri Gabor dalgacık dönü ± ümü
Background image of page 4
v kullanılarak bulunmu & tur. Gabor dalgacık dönü & ümü, insan görme sistemindeki duyumsal bölgelerin davranı & ını modellemesinden dolayı kullanılmı & tır. Önerilen metod, daha önceden tanımlanmı & çizge dü ± ümleri yerine, Gabor dalgacık tepkeleri tepelerinin (yüksek enerjili noktalarının) öznitelik noktaları olarak seçilmesine dayanmaktadır. Böylece Gabor dalgacıklarının en verimli &
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 6
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 05/28/2010 for the course EE EE564 taught by Professor Runyiyu during the Spring '10 term at Eastern Mediterranean University.

Page1 / 130

10.1.1.100.6259 - FACE RECOGNITION USING GABOR WAVELET...

This preview shows document pages 1 - 6. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online