Atamuradov, VepaEleyan, AlaaKarlik, Bekir2020-03-262020-03-262013978-1-4673-5613-8; 978-1-4673-5612-1https://hdl.handle.net/20.500.12395/29715International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE) -- MAY 09-11, 2013 -- Mevlana Univ, Konya, TURKEYIn 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.eninfo:eu-repo/semantics/closedAccessimage de-noisingwavelet transformface recognitionprincipal component analysisConference Object284287N/AWOS:000325948700054N/A