Performance Evaluation for Face Recognition Using Wavelet-based Image De-noising
Küçük Resim Yok
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this research we scrutinize the face recognition system performance when the test images are imposed to different levels of noise. We tried to imitate the real world scenarios when the face images are captured from video cameras or scanners and suffer some noise. To investigate the performance of proposed system, we simulate this scenario by adding A WGN (additive white Gaussian noise) to the test images in the face database. For image de-noising, we used two different algorithms namely; Discrete Wavelets Transform (DWT) and Dual-Tree Complex Wavelets Transform (DTCWT). The de-noised images are then fed to a PCA-based face recognition system for better recognition performance.
Açıklama
International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE) -- MAY 09-11, 2013 -- Mevlana Univ, Konya, TURKEY
Anahtar Kelimeler
image de-noising, wavelet transform, face recognition, principal component analysis
Kaynak
2013 INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ADVANCES IN ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING (TAEECE)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
