EVALUATION OF ACCURACY PERFORMANCE IN FACE RECOGNITION SYSTEMS

Abstract

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.

Keywords

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

YÜZ TANIMA SİSTEMLERİNDE DOĞRULUK PERFORMANSLARININ DEĞERLENDİRİLMESİ

Abstract

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.

Keywords

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

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