FACE RECOGNITION USING LBP, nLBP and αLBP ALGORITHMS
Yükleniyor...
Dosyalar
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SİİRT ÜNİVERSİTESİ FEN BİLİMLERİ ENSTİTÜSÜ
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Face recognition is of great interest because it is one of the most important image processing
applications. Although the success rates of the studies in the literature are high, the performance in out-ofcontrol situations is still not better than human. There are many challenges to design an accurate and robust face
recognition system, especially in non-restricted environments. In this thesis classical local binary pattern (LBP),
neighborliness local binary pattern (nLBP) and αLBP were used for a face recognition problem. nLBP is formed
according to the relationship between the neighbors around each pixel. nLBP has a distance parameter which
specifies the distance between consecutive neighbors to be compared. Different patterns are obtained for
different d parameter values. αLBP operator calculates the value of each pixel according to an angle value.
Angle values can be α = 0, 45, 90 and 135 degrees. The ORL face database was used to test the proposed
approaches. nLBP, αLBP and classical LBP features were extracted from face images and classified using knearest neighbor (kNN) and artificial neural network (ANN). 98.25% recognition rate was obtained using kNN
with nLBP. A recognition rate of 88.50% was obtained with αLBP using ANN. The recognition rate of 83.50%
was obtained with classical LBP. The proposed nLBP and αLBP approaches were found to be more successful
than the classical LBP method. In the literature, the success rates obtained in the studies performed on the same
ORL face database were compared with the success rates of the proposed approaches in this thesis study. As a
result, the proposed LBP-based approaches achieved significant success in face recognition.
Açıklama
Anahtar Kelimeler
Machine learning, Biometric identification, Classification
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Rasool, Megir Mohammed Rasool, Face recognition using LBP, nLBP and αLBP algorithms, Siirt Üniversitesi Fen Bilimleri Enstitüsü Yüksek Lisans Tezi, 2019.
