EVALUATION OF ACCURACY PERFORMANCE IN FACE RECOGNITION SYSTEMS

Yıl 2019, , 835 - 842, 19.12.2019

Bekir Aksoy

https://doi.org/10.21923/jesd.559887

Cited By: 1

Öz

The importance of face
recognition systems has increased in recent years. In this study, front, side,
upper and lower facial images of 41 people consisting of volunteer students and
faculty members from Isparta University of Applied Sciences were taken and LDA,
LBP-PCA and SVD facial recognition algorithms were applied and their model was
obtained. The obtained models were classified on the test face images and
evaluated according to the RMSE and MAPE performance criteria. In the front
face and side face recognition system, PCA and SVD algorithm, in the upper and
lower face recognition system LBP algorithm were found to give the best
results.

Anahtar Kelimeler

Image Processing, Face Recognition, LDA Algorithm, PCA and SVD Algorithm, LBP Algorithm

YÜZ TANIMA SİSTEMLERİNDE DOĞRULUK PERFORMANSLARININ DEĞERLENDİRİLMESİ

Öz

Yüz tanıma
sistemlerinin güvenlik açısından önemi son yıllarda oldukça artmıştır.
Çalışmada, Isparta Uygulamalı Bilimler Üniversitesi Teknoloji Fakültesindeki
gönüllü öğrenci ve öğretim üyelerinden oluşan 41 kişiye ait ön, yan, üst ve alt
yüz görüntüleri alınarak LDA, LBP ve PCA ile SVD yüz tanıma algoritmaları
uygulanarak her birine ait model elde edilmiştir.  Elde edilen modeller test yüz görüntüleri
üzerinde sınıflandırılarak, RMSE ve MAPE performans ölçüt kriterlerine göre
değerlendirilerek ön ve yan yüz tanıma sisteminde PCA ve SVD algoritması, üst ve alt yüz tanıma sisteminde ise LBP
Algoritmasının en iyi sonucu verdiği tespit edilmiştir.

Anahtar Kelimeler

Görüntü İşleme, Yüz Tanıma, LDA Algoritması, PCA ve SVD Algoritması, LBP Algoritması

Kaynakça

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